delete_studio async ¶

async def delete_studio(
    self,
    *,
    config_overrides: Optional[AsyncEMRClientConfig] = None,
    studio_id: Optional[
        "capo_emr.types.xml_string_max_len256.XmlStringMaxLen256"
    ] = None,
) -> None:
    """<p>Removes an Amazon EMR Studio from the Studio metadata store.</p>

    Args:
        studio_id: <p>The ID of the Amazon EMR Studio.</p>

    Raises:
        capo_emr.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Amazon EMR service.</p>
        capo_emr.errors.invalid_request_exception.InvalidRequestException: <p>This exception occurs when there is something wrong with user input.</p>
        capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_emr.types.delete_studio_input.DeleteStudioInput]",
    ) -> AsyncOperationResponse[None]:
        import capo_emr._operations.elastic_map_reduce.delete_studio

        (
            output,
            http_response,
        ) = await capo_emr._operations.elastic_map_reduce.delete_studio.async_delete_studio(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteStudio")
    )
    input_: capo_emr.types.delete_studio_input.DeleteStudioInput = {}
    if studio_id is not None:
        input_["studio_id"] = studio_id

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output