SupplyChain / Client / delete_data_lake_dataset

delete_data_lake_dataset#

SupplyChain.Client.delete_data_lake_dataset(**kwargs)#

Enables you to programmatically delete an Amazon Web Services Supply Chain data lake dataset. Developers can delete the existing datasets for a given instance ID, namespace, and instance name.

Request Syntax

response = client.delete_data_lake_dataset(
    instanceId='string',
    namespace='string',
    name='string'
)

Parameters:

instanceId (string) –
[REQUIRED]

The AWS Supply Chain instance identifier.
namespace (string) –
[REQUIRED]

The namespace of the dataset. The available values are:
- asc: for AWS Supply Chain supported datasets.
- default: for datasets with custom user-defined schemas.
name (string) –
[REQUIRED]

The name of the dataset. If the namespace is asc, the name must be one of the supported data entities.

Return type:

dict

Returns:

Response Syntax

{
    'instanceId': 'string',
    'namespace': 'string',
    'name': 'string'
}

Response Structure

(dict) –

The response parameters of DeleteDataLakeDataset.
- instanceId (string) –
  
  The AWS Supply Chain instance identifier.
- namespace (string) –
  
  The namespace of deleted dataset.
- name (string) –
  
  The name of deleted dataset.

Exceptions

SupplyChain.Client.exceptions.ServiceQuotaExceededException
SupplyChain.Client.exceptions.ResourceNotFoundException
SupplyChain.Client.exceptions.ThrottlingException
SupplyChain.Client.exceptions.AccessDeniedException
SupplyChain.Client.exceptions.ValidationException
SupplyChain.Client.exceptions.InternalServerException
SupplyChain.Client.exceptions.ConflictException