WorkflowTemplateServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
The API interface for managing Workflow Templates in the Dataproc API.
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
WorkflowTemplateServiceTransport | The transport used by the client instance. |
Methods
WorkflowTemplateServiceAsyncClient
WorkflowTemplateServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the workflow template service client.
Parameters | |
---|---|
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
cancel_operation
cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_workflow_template
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dataproc_v1.types.CreateWorkflowTemplateRequest, dict]]
The request object. A request to create a workflow template. |
parent |
Required. The resource name of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For |
template |
WorkflowTemplate
Required. The Dataproc workflow template to create. This corresponds to the |
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 | |
---|---|
Type | Description |
google.cloud.dataproc_v1.types.WorkflowTemplate | A Dataproc workflow template resource. |
delete_operation
delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
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_workflow_template
delete_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.DeleteWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
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 |
Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. - For |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
WorkflowTemplateServiceAsyncClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
WorkflowTemplateServiceAsyncClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
WorkflowTemplateServiceAsyncClient | The constructed client. |
get_iam_policy
get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 | |
---|---|
Type | Description |
| 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 __. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Gets the latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 | |
---|---|
Type | Description |
| An Operation object. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
get_workflow_template
get_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.GetWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dataproc_v1.types.GetWorkflowTemplateRequest, dict]]
The request object. A request to fetch a workflow template. |
name |
Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. - For |
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 | |
---|---|
Type | Description |
google.cloud.dataproc_v1.types.WorkflowTemplate | A Dataproc workflow template resource. |
instantiate_inline_workflow_template
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Instantiates a template and begins execution.
This method is equivalent to executing the sequence xref_CreateWorkflowTemplate, xref_InstantiateWorkflowTemplate, xref_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 <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#workflowmetadata>
.
Also see Using
WorkflowMetadata <https://cloud.google.com/dataproc/docs/concepts/workflows/debugging#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 | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dataproc_v1.types.InstantiateInlineWorkflowTemplateRequest, dict]]
The request object. A request to instantiate an inline workflow template. |
parent |
Required. The resource name of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For |
template |
WorkflowTemplate
Required. The workflow template to instantiate. This corresponds to the |
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 | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
instantiate_workflow_template
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#workflowmetadata>
.
Also see Using
WorkflowMetadata <https://cloud.google.com/dataproc/docs/concepts/workflows/debugging#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 | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dataproc_v1.types.InstantiateWorkflowTemplateRequest, dict]]
The request object. A request to instantiate a workflow template. |
name |
Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. - For |
parameters |
:class:
Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 1000 characters. This corresponds to the |
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 | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
list_operations
list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 | |
---|---|
Type | Description |
| Response message for ListOperations method. |
list_workflow_templates
list_workflow_templates(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dataproc_v1.types.ListWorkflowTemplatesRequest, dict]]
The request object. A request to list workflow templates in a project. |
parent |
Required. The resource name of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For |
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 | |
---|---|
Type | Description |
google.cloud.dataproc_v1.services.workflow_template_service.pagers.ListWorkflowTemplatesAsyncPager | A response to a request to list workflow templates in a project. Iterating over this object will yield results and resolve additional pages automatically. |
node_group_path
node_group_path(project: str, region: str, cluster: str, node_group: str)
Returns a fully-qualified node_group string.
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_node_group_path
parse_node_group_path(path: str)
Parses a node_group path into its component segments.
parse_service_path
parse_service_path(path: str)
Parses a service path into its component segments.
parse_workflow_template_path
parse_workflow_template_path(path: str)
Parses a workflow_template path into its component segments.
service_path
service_path(project: str, location: str, service: str)
Returns a fully-qualified service string.
set_iam_policy
set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Sets the IAM access control policy on the specified function.
Replaces any existing policy.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 | |
---|---|
Type | Description |
| 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 __. |
test_iam_permissions
test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 | |
---|---|
Type | Description |
| Response message for TestIamPermissions method. |
update_workflow_template
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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 | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dataproc_v1.types.UpdateWorkflowTemplateRequest, dict]]
The request object. A request to update a workflow template. |
template |
WorkflowTemplate
Required. The updated workflow template. The |
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 | |
---|---|
Type | Description |
google.cloud.dataproc_v1.types.WorkflowTemplate | A Dataproc workflow template resource. |
workflow_template_path
workflow_template_path(project: str, region: str, workflow_template: str)
Returns a fully-qualified workflow_template string.