async fn add_application_reference_data_source(
        &self,
        input: AddApplicationReferenceDataSourceRequest,
    ) -> Result<
        AddApplicationReferenceDataSourceResponse,
        RusotoError<AddApplicationReferenceDataSourceError>,
    > {
        let mut request = self.new_signed_request("POST", "/");
        request.add_header(
            "x-amz-target",
            "KinesisAnalytics_20180523.AddApplicationReferenceDataSource",
        );
        let encoded = serde_json::to_string(&input).unwrap();
        request.set_payload(Some(encoded));

        let response = self
            .sign_and_dispatch(
                request,
                AddApplicationReferenceDataSourceError::from_response,
            )
            .await?;
        let mut response = response;
        let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?;
        proto::json::ResponsePayload::new(&response)
            .deserialize::<AddApplicationReferenceDataSourceResponse, _>()
    }
<p>Adds a reference data source to an existing SQL-based Kinesis Data Analytics application.</p> <p>Kinesis Data Analytics reads reference data (that is, an Amazon S3 object) and creates an in-application table within your application. In the request, you provide the source (S3 bucket name and object key name), name of the in-application table to create, and the necessary mapping information that describes how data in an Amazon S3 object maps to columns in the resulting in-application table.</p>
rusoto/services/kinesisanalyticsv2/src/generated.rs