Struct aws_sdk_config::paginator::DescribeConfigurationAggregatorSourcesStatusPaginator

pub struct DescribeConfigurationAggregatorSourcesStatusPaginator { /* private fields */ }

Paginator for DescribeConfigurationAggregatorSourcesStatus

Implementations

impl DescribeConfigurationAggregatorSourcesStatusPaginator

pub fn page_size(self, limit: i32) -> Self

Set the page size

Note: this method will override any previously set value for limit

pub fn items(self) -> DescribeConfigurationAggregatorSourcesStatusPaginatorItems

Create a flattened paginator

This paginator automatically flattens results using aggregated_source_status_list. Queries to the underlying service are dispatched lazily.

pub fn stop_on_duplicate_token(self, stop_on_duplicate_token: bool) -> Self

Stop paginating when the service returns the same pagination token twice in a row.

Defaults to true.

For certain operations, it may be useful to continue on duplicate token. For example, if an operation is for tailing a log file in real-time, then continuing may be desired. This option can be set to false to accommodate these use cases.

pub fn send(
    self
) -> impl Stream<Item = Result<DescribeConfigurationAggregatorSourcesStatusOutput, SdkError<DescribeConfigurationAggregatorSourcesStatusError>>> + Unpin

Create the pagination stream

Note: No requests will be dispatched until the stream is used (eg. with .next().await).

Examples found in repository

src/paginator.rs (line 4738)

    pub fn send(
        self,
    ) -> impl tokio_stream::Stream<
        Item = std::result::Result<
            crate::model::AggregatedSourceStatus,
            aws_smithy_http::result::SdkError<
                crate::error::DescribeConfigurationAggregatorSourcesStatusError,
            >,
        >,
    > + Unpin {
        aws_smithy_async::future::fn_stream::TryFlatMap::new(self.0.send()).flat_map(|page| crate::lens::lens_structure_crate_output_describe_configuration_aggregator_sources_status_output_aggregated_source_status_list(page).unwrap_or_default().into_iter())
    }