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list_datasets

list_datasets(
    *,
    config_overrides: Optional[DataBrewClientConfig] = None,
    max_results: Optional[MaxResults100] = None,
    next_token: Optional[NextToken] = None,
) -> ListDatasetsResponse

Lists all of the DataBrew datasets.

Parameters:

  • max_results (Optional[MaxResults100], default: None ) –

    The maximum number of results to return in this request.

  • next_token (Optional[NextToken], default: None ) –

    The token returned by a previous call to retrieve the next set of results.

Raises:

Source code in docs_src/capo_databrew/_services/data_brew.py
def list_datasets(
    self,
    *,
    config_overrides: Optional[DataBrewClientConfig] = None,
    max_results: Optional[
        "capo_databrew.types.max_results100.MaxResults100"
    ] = None,
    next_token: Optional["capo_databrew.types.next_token.NextToken"] = None,
) -> "capo_databrew.types.list_datasets_response.ListDatasetsResponse":
    """<p>Lists all of the DataBrew datasets.</p>

    Args:
        max_results: <p>The maximum number of results to return in this request. </p>
        next_token: <p>The token returned by a previous call to retrieve the next set of results.</p>

    Raises:
        capo_databrew.errors.validation_exception.ValidationException: <p>The input parameters for this request failed validation.</p>
        capo_databrew.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_databrew.types.list_datasets_request.ListDatasetsRequest]",
    ) -> OperationResponse[
        "capo_databrew.types.list_datasets_response.ListDatasetsResponse"
    ]:
        import capo_databrew._operations.aws_glue_data_brew.list_datasets

        output, http_response = (
            capo_databrew._operations.aws_glue_data_brew.list_datasets.list_datasets(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListDatasets")
    )
    input_: capo_databrew.types.list_datasets_request.ListDatasetsRequest = {}
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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