Enables you to programmatically delete an Amazon Web Services Supply Chain data lake namespace and its underling datasets. Developers can delete the existing namespaces for a given instance ID and namespace name.
Parameters:
-
instance_id
(UUID)
–
The AWS Supply Chain instance identifier.
-
name
(DataLakeNamespaceName)
–
The name of the namespace. Noted you cannot delete pre-defined namespace like asc, default which are only deleted through instance deletion.
Raises:
Examples:
Delete an AWS Supply Chain namespace
>>> client.delete_data_lake_namespace(instance_id='1877dd20-dee9-4639-8e99-cb67acf21fe5', name='my_namespace')
Source code in docs_src/capo_supplychain/_services/supply_chain.py
| def delete_data_lake_namespace(
self,
instance_id: "capo_supplychain.types.uuid.UUID",
name: "capo_supplychain.types.data_lake_namespace_name.DataLakeNamespaceName",
*,
config_overrides: Optional[SupplyChainClientConfig] = None,
) -> "capo_supplychain.types.delete_data_lake_namespace_response.DeleteDataLakeNamespaceResponse":
"""<p>Enables you to programmatically delete an Amazon Web Services Supply Chain data lake namespace and its underling datasets. Developers can delete the existing namespaces for a given instance ID and namespace name.</p>
Args:
instance_id: <p>The AWS Supply Chain instance identifier.</p>
name: <p>The name of the namespace. Noted you cannot delete pre-defined namespace like <b>asc</b>, <b>default</b> which are only deleted through instance deletion.</p>
Raises:
capo_supplychain.errors.access_denied_exception.AccessDeniedException: <p>You do not have the required privileges to perform this action.</p>
capo_supplychain.errors.conflict_exception.ConflictException: <p>Updating or deleting a resource can cause an inconsistent state.</p>
capo_supplychain.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
capo_supplychain.errors.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</p>
capo_supplychain.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>Request would cause a service quota to be exceeded.</p>
capo_supplychain.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
capo_supplychain.errors.validation_exception.ValidationException: <p>The input does not satisfy the constraints specified by an AWS service.</p>
capo_supplychain.errors.UnknownServiceError: The service returned an error code this client does not model.
Examples:
Delete an AWS Supply Chain namespace
>>> client.delete_data_lake_namespace(instance_id='1877dd20-dee9-4639-8e99-cb67acf21fe5', name='my_namespace')
"""
def _handler(
req: "OperationRequest[capo_supplychain.types.delete_data_lake_namespace_request.DeleteDataLakeNamespaceRequest]",
) -> OperationResponse[
"capo_supplychain.types.delete_data_lake_namespace_response.DeleteDataLakeNamespaceResponse"
]:
import capo_supplychain._operations.galaxy_public_api_gateway.delete_data_lake_namespace
output, http_response = (
capo_supplychain._operations.galaxy_public_api_gateway.delete_data_lake_namespace.delete_data_lake_namespace(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteDataLakeNamespace")
)
input_: capo_supplychain.types.delete_data_lake_namespace_request.DeleteDataLakeNamespaceRequest = {
"instance_id": instance_id,
"name": name,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|