get_session_endpoint async ¶

async def get_session_endpoint(
    self,
    *,
    config_overrides: Optional[AsyncEMRClientConfig] = None,
    cluster_id: Optional["capo_emr.types.cluster_id.ClusterId"] = None,
    session_id: Optional["capo_emr.types.session_id.SessionId"] = None,
) -> "capo_emr.types.get_session_endpoint_output.GetSessionEndpointOutput":
    """<p>Returns the Spark Connect endpoint URL and a time-limited authentication token for the specified session. Use the endpoint and token to connect a PySpark client to the session. Call this operation again when the token expires to obtain a new one.</p>

    Args:
        cluster_id: <p>The ID of the cluster that the session belongs to.</p>
        session_id: <p>The ID of the session.</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.get_session_endpoint_input.GetSessionEndpointInput]",
    ) -> AsyncOperationResponse[
        "capo_emr.types.get_session_endpoint_output.GetSessionEndpointOutput"
    ]:
        import capo_emr._operations.elastic_map_reduce.get_session_endpoint

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

    def _redact_output(
        output: "capo_emr.types.get_session_endpoint_output.GetSessionEndpointOutput",
    ) -> dict[str, Any]:
        import capo_emr.types.get_session_endpoint_output

        return capo_emr.types.get_session_endpoint_output.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetSessionEndpoint", redact_output=_redact_output),
    )
    input_: capo_emr.types.get_session_endpoint_input.GetSessionEndpointInput = {}
    if cluster_id is not None:
        input_["cluster_id"] = cluster_id
    if session_id is not None:
        input_["session_id"] = session_id

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