迭代与并发

与同步Iterator相似,有不少不同的迭代处理Stream中值的方法。有像mapfilterfold这种组合子风格(combinator-style)的方法,还有它们提供了出错时提早退出的(early-exit-on-error)的近亲try_maptry_filtertry_fold

不幸的是,不能对Stream使用for循环,但是对于命令式风格(imperative-style)的代码,是可以使用while letnext/try_next这样的函数的:

async fn sum_with_next(mut stream: Pin<&mut dyn Stream<Item = i32>>) -> i32 {
    use futures::stream::StreamExt; // for `next`
    let mut sum = 0;
    while let Some(item) = stream.next().await {
        sum += item;
    }
    sum
}

async fn sum_with_try_next(
    mut stream: Pin<&mut dyn Stream<Item = Result<i32, io::Error>>>,
) -> Result<i32, io::Error> {
    use futures::stream::TryStreamExt; // for `try_next`
    let mut sum = 0;
    while let Some(item) = stream.try_next().await? {
        sum += item;
    }
    Ok(sum)
}

但要是一次只处理一个元素,就失去了并发的机会,毕竟编写异步代码是第一位的。为了并发处理Stream中的多个内容,请使用for_each_concurrenttry_for_each_concurrent

async fn jump_around(
    mut stream: Pin<&mut dyn Stream<Item = Result<u8, io::Error>>>,
) -> Result<(), io::Error> {
    use futures::stream::TryStreamExt; // for `try_for_each_concurrent`
    const MAX_CONCURRENT_JUMPERS: usize = 100;

    stream.try_for_each_concurrent(MAX_CONCURRENT_JUMPERS, |num| async move {
        jump_n_times(num).await?;
        report_n_jumps(num).await?;
        Ok(())
    }).await?;

    Ok(())
}