delete_data_source ¶

delete_data_source(
    aws_account_id: AwsAccountId,
    data_source_id: ResourceId,
    *,
    config_overrides: Optional[QuickSightClientConfig] = None,
) -> DeleteDataSourceResponse

Deletes the data source permanently. This operation breaks all the datasets that reference the deleted data source.

Parameters:

aws_account_id (AwsAccountId) –

The Amazon Web Services account ID.
data_source_id (ResourceId) –

The ID of the data source. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.

Raises:

AccessDeniedException –

You don't have access to this item. The provided credentials couldn't be validated. You might not be authorized to carry out the request. Make sure that your account is authorized to use the Amazon Quick Sight service, that your policies have the correct permissions, and that you are using the correct credentials.
InternalFailureException –

An internal failure occurred.
InvalidParameterValueException –

One or more parameters has a value that isn't valid.
ResourceNotFoundException –

One or more resources can't be found.
ThrottlingException –

Access is throttled.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_quicksight/_services/quick_sight.py

def delete_data_source(
    self,
    aws_account_id: "capo_quicksight.types.aws_account_id.AwsAccountId",
    data_source_id: "capo_quicksight.types.resource_id.ResourceId",
    *,
    config_overrides: Optional[QuickSightClientConfig] = None,
) -> "capo_quicksight.types.delete_data_source_response.DeleteDataSourceResponse":
    """<p>Deletes the data source permanently. This operation breaks all the datasets that reference the deleted data source.</p>

    Args:
        aws_account_id: <p>The Amazon Web Services account ID.</p>
        data_source_id: <p>The ID of the data source. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.</p>

    Raises:
        capo_quicksight.errors.access_denied_exception.AccessDeniedException: <p>You don't have access to this item. The provided credentials couldn't be validated. You might not be authorized to carry out the request. Make sure that your account is authorized to use the Amazon Quick Sight service, that your policies have the correct permissions, and that you are using the correct credentials.</p>
        capo_quicksight.errors.internal_failure_exception.InternalFailureException: <p>An internal failure occurred.</p>
        capo_quicksight.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>One or more parameters has a value that isn't valid.</p>
        capo_quicksight.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
        capo_quicksight.errors.throttling_exception.ThrottlingException: <p>Access is throttled.</p>
        capo_quicksight.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_quicksight.types.delete_data_source_request.DeleteDataSourceRequest]",
    ) -> OperationResponse[
        "capo_quicksight.types.delete_data_source_response.DeleteDataSourceResponse"
    ]:
        import capo_quicksight._operations.quick_sight_20180401.delete_data_source

        output, http_response = (
            capo_quicksight._operations.quick_sight_20180401.delete_data_source.delete_data_source(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteDataSource")
    )
    input_: capo_quicksight.types.delete_data_source_request.DeleteDataSourceRequest = {
        "aws_account_id": aws_account_id,
        "data_source_id": data_source_id,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output