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.

See also: AWS API Documentation

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 name space of the dataset. The available values are:

  • asc - For information on the Amazon Web Services Supply Chain supported datasets see https://docs.aws.amazon.com/aws-supply-chain/latest/userguide/data-model-asc.html.

  • default - For datasets with custom user-defined schemas.

• name (string) –

  [REQUIRED]

  The name of the dataset. For asc name space, the name must be one of the supported data entities under https://docs.aws.amazon.com/aws-supply-chain/latest/userguide/data-model-asc.html.

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 name space 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