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ForEach, Fold, and similar stream combinators can run saturated without returning from poll #1957
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An easy fix is to add a counter into such polling loops and, upon reaching a certain number of iterations, call an immediate wakeup for the task and return impl<St, Fut, F> ForEach<St, Fut, F> {
pub fn yield_after_every(mut self, iterations: u32) -> Self {
self.yield_after_every = iterations;
self
}
} |
The resolution of #869 (comment) offers making a dedicated stream combinator to force yield after N iterations, but I think it's a poor solution due to human aspect: it's very easy to write complex async code disregarding this, and that will work most of the time until a stream happens to be saturated somewhere that is critical. |
For programmers who are sure they don't need any silly busy-looping guards, but rather need that extra performance in polling something that, in principle, is prone to be pending on I/O, some caution-worded alternative combinators can be added: |
A single call to `poll` on a top-level task may potentially do a lot of work before it returns `Poll::Pending`. If a task runs for a long period of time without yielding back to the executor, it can starve other tasks waiting on that executor to execute them, or drive underlying resources. See for example rust-lang/futures-rs#2047, rust-lang/futures-rs#1957, and rust-lang/futures-rs#869. Since Rust does not have a runtime, it is difficult to forcibly preempt a long-running task. Consider a future like this one: ```rust use tokio::stream::StreamExt; async fn drop_all<I: Stream>(input: I) { while let Some(_) = input.next().await {} } ``` It may look harmless, but consider what happens under heavy load if the input stream is _always_ ready. If we spawn `drop_all`, the task will never yield, and will starve other tasks and resources on the same executor. This patch adds a `coop` module that provides an opt-in mechanism for futures to cooperate with the executor to avoid starvation. This alleviates the problem above: ``` use tokio::stream::StreamExt; async fn drop_all<I: Stream>(input: I) { while let Some(_) = input.next().await { tokio::coop::proceed().await; } } ``` The call to [`proceed`] will coordinate with the executor to make sure that every so often control is yielded back to the executor so it can run other tasks. The implementation uses a thread-local counter that simply counts how many "cooperation points" we have passed since the task was first polled. Once the "budget" has been spent, any subsequent points will return `Poll::Pending`, eventually making the top-level task yield. When it finally does yield, the executor resets the budget before running the next task. The budget per task poll is currently hard-coded to 128. Eventually, we may want to make it dynamic as more cooperation points are added. The number 128 was chosen more or less arbitrarily to balance the cost of yielding unnecessarily against the time an executor may be "held up". At the moment, all the tokio leaf futures ("resources") call into coop, but external futures have no way of doing so. We probably want to continue limiting coop points to leaf futures in the future, but may want to also enable third-party leaf futures to cooperate to benefit the ecosystem as a whole. This is reflected in the methods marked as `pub` in `mod coop` (even though the module is only `pub(crate)`). We will likely also eventually want to expose `coop::limit`, which enables sub-executors and manual `impl Future` blocks to avoid one sub-task spending all of their poll budget. Benchmarks (see #2160) suggest that the overhead of `coop` is marginal.
A single call to `poll` on a top-level task may potentially do a lot of work before it returns `Poll::Pending`. If a task runs for a long period of time without yielding back to the executor, it can starve other tasks waiting on that executor to execute them, or drive underlying resources. See for example rust-lang/futures-rs#2047, rust-lang/futures-rs#1957, and rust-lang/futures-rs#869. Since Rust does not have a runtime, it is difficult to forcibly preempt a long-running task. Consider a future like this one: ```rust use tokio::stream::StreamExt; async fn drop_all<I: Stream>(input: I) { while let Some(_) = input.next().await {} } ``` It may look harmless, but consider what happens under heavy load if the input stream is _always_ ready. If we spawn `drop_all`, the task will never yield, and will starve other tasks and resources on the same executor. This patch adds a `coop` module that provides an opt-in mechanism for futures to cooperate with the executor to avoid starvation. This alleviates the problem above: ``` use tokio::stream::StreamExt; async fn drop_all<I: Stream>(input: I) { while let Some(_) = input.next().await { tokio::coop::proceed().await; } } ``` The call to [`proceed`] will coordinate with the executor to make sure that every so often control is yielded back to the executor so it can run other tasks. The implementation uses a thread-local counter that simply counts how many "cooperation points" we have passed since the task was first polled. Once the "budget" has been spent, any subsequent points will return `Poll::Pending`, eventually making the top-level task yield. When it finally does yield, the executor resets the budget before running the next task. The budget per task poll is currently hard-coded to 128. Eventually, we may want to make it dynamic as more cooperation points are added. The number 128 was chosen more or less arbitrarily to balance the cost of yielding unnecessarily against the time an executor may be "held up". At the moment, all the tokio leaf futures ("resources") call into coop, but external futures have no way of doing so. We probably want to continue limiting coop points to leaf futures in the future, but may want to also enable third-party leaf futures to cooperate to benefit the ecosystem as a whole. This is reflected in the methods marked as `pub` in `mod coop` (even though the module is only `pub(crate)`). We will likely also eventually want to expose `coop::limit`, which enables sub-executors and manual `impl Future` blocks to avoid one sub-task spending all of their poll budget. Benchmarks (see #2160) suggest that the overhead of `coop` is marginal.
Has this been solved by tokio-rs/tokio#2160? |
I like the cooperative budget approach outlined in rust-lang/rust#74335 (comment) |
The combinators that poll a stream for exhaustion in a loop have a problem that's already been raised in #869: if the upstream consecutively returns
Ready
for a long time, the loop never breaks and the combinator'spoll
never returns for that long, starving other pending operations in the task from being polled.To illustrate how this can be a problem for other code, consider this simple adapter for making futures cancellable:
It looks rather useful and intuitive, but this contrived example hangs with a busy-looping thread rather than canceling the task:
In non-contrived usage with real streams, too, a
ForEach
with an always-ready processing closure will delay cancellation for as long as the stream yields items.The text was updated successfully, but these errors were encountered: