batch_get_table_optimizer ¶

def batch_get_table_optimizer(
    self,
    entries: "capo_glue.types.batch_get_table_optimizer_entries.BatchGetTableOptimizerEntries",
    *,
    config_overrides: Optional[GlueClientConfig] = None,
) -> "capo_glue.types.batch_get_table_optimizer_response.BatchGetTableOptimizerResponse":
    """<p>Returns the configuration for the specified table optimizers.</p>

    Args:
        entries: <p>A list of <code>BatchGetTableOptimizerEntry</code> objects specifying the table optimizers to retrieve.</p>

    Raises:
        capo_glue.errors.access_denied_exception.AccessDeniedException: <p>Access to a resource was denied.</p>
        capo_glue.errors.entity_not_found_exception.EntityNotFoundException: <p>A specified entity does not exist</p>
        capo_glue.errors.internal_service_exception.InternalServiceException: <p>An internal service error occurred.</p>
        capo_glue.errors.invalid_input_exception.InvalidInputException: <p>The input provided was not valid.</p>
        capo_glue.errors.throttling_exception.ThrottlingException: <p>The throttling threshhold was exceeded.</p>
        capo_glue.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_glue.types.batch_get_table_optimizer_request.BatchGetTableOptimizerRequest]",
    ) -> OperationResponse[
        "capo_glue.types.batch_get_table_optimizer_response.BatchGetTableOptimizerResponse"
    ]:
        import capo_glue._operations.aws_glue.batch_get_table_optimizer

        output, http_response = (
            capo_glue._operations.aws_glue.batch_get_table_optimizer.batch_get_table_optimizer(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("BatchGetTableOptimizer")
    )
    input_: capo_glue.types.batch_get_table_optimizer_request.BatchGetTableOptimizerRequest = {
        "entries": entries
    }

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