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use std::{
pin::Pin,
task::{ready, Context, Poll},
time::{Duration, Instant},
};
use futures::{Stream, StreamExt};
use metrics::gauge;
use pin_project::pin_project;
use tokio::time::interval;
use tokio_stream::wrappers::IntervalStream;
use crate::stats;
#[pin_project]
pub(crate) struct Utilization<S> {
timer: Timer,
intervals: IntervalStream,
inner: S,
}
impl<S> Utilization<S> {
/// Consumes this wrapper and returns the inner stream.
///
/// This can't be constant because destructors can't be run in a const context, and we're
/// discarding `IntervalStream`/`Timer` when we call this.
#[allow(clippy::missing_const_for_fn)]
pub(crate) fn into_inner(self) -> S {
self.inner
}
}
impl<S> Stream for Utilization<S>
where
S: Stream + Unpin,
{
type Item = S::Item;
fn poll_next(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Option<Self::Item>> {
// The goal of this function is to measure the time between when the
// caller requests the next Event from the stream and before one is
// ready, with the side-effect of reporting every so often about how
// long the wait gap is.
//
// To achieve this we poll the `intervals` stream and if a new interval
// is ready we hit `Timer::report` and loop back around again to poll
// for a new `Event`. Calls to `Timer::start_wait` will only have an
// effect if `stop_wait` has been called, so the structure of this loop
// avoids double-measures.
let this = self.project();
loop {
this.timer.start_wait();
match this.intervals.poll_next_unpin(cx) {
Poll::Ready(_) => {
this.timer.report();
continue;
}
Poll::Pending => {
let result = ready!(this.inner.poll_next_unpin(cx));
this.timer.stop_wait();
return Poll::Ready(result);
}
}
}
}
}
/// Wrap a stream to emit stats about utilization. This is designed for use with
/// the input channels of transform and sinks components, and measures the
/// amount of time that the stream is waiting for input from upstream. We make
/// the simplifying assumption that this wait time is when the component is idle
/// and the rest of the time it is doing useful work. This is more true for
/// sinks than transforms, which can be blocked by downstream components, but
/// with knowledge of the config the data is still useful.
pub(crate) fn wrap<S>(inner: S) -> Utilization<S> {
Utilization {
timer: Timer::new(),
intervals: IntervalStream::new(interval(Duration::from_secs(5))),
inner,
}
}
pub(super) struct Timer {
overall_start: Instant,
span_start: Instant,
waiting: bool,
total_wait: Duration,
ewma: stats::Ewma,
}
/// A simple, specialized timer for tracking spans of waiting vs not-waiting
/// time and reporting a smoothed estimate of utilization.
///
/// This implementation uses the idea of spans and reporting periods. Spans are
/// a period of time spent entirely in one state, aligning with state
/// transitions but potentially more granular. Reporting periods are expected
/// to be of uniform length and used to aggregate span data into time-weighted
/// averages.
impl Timer {
pub(crate) fn new() -> Self {
Self {
overall_start: Instant::now(),
span_start: Instant::now(),
waiting: false,
total_wait: Duration::new(0, 0),
ewma: stats::Ewma::new(0.9),
}
}
/// Begin a new span representing time spent waiting
pub(crate) fn start_wait(&mut self) {
if !self.waiting {
self.end_span();
self.waiting = true;
}
}
/// Complete the current waiting span and begin a non-waiting span
pub(crate) fn stop_wait(&mut self) -> Instant {
if self.waiting {
let now = self.end_span();
self.waiting = false;
now
} else {
Instant::now()
}
}
/// Meant to be called on a regular interval, this method calculates wait
/// ratio since the last time it was called and reports the resulting
/// utilization average.
pub(crate) fn report(&mut self) {
// End the current span so it can be accounted for, but do not change
// whether or not we're in the waiting state. This way the next span
// inherits the correct status.
let now = self.end_span();
let total_duration = now.duration_since(self.overall_start);
let wait_ratio = self.total_wait.as_secs_f64() / total_duration.as_secs_f64();
let utilization = 1.0 - wait_ratio;
self.ewma.update(utilization);
let avg = self.ewma.average().unwrap_or(f64::NAN);
debug!(utilization = %avg);
gauge!("utilization").set(avg);
// Reset overall statistics for the next reporting period.
self.overall_start = self.span_start;
self.total_wait = Duration::new(0, 0);
}
fn end_span(&mut self) -> Instant {
if self.waiting {
self.total_wait += self.span_start.elapsed();
}
self.span_start = Instant::now();
self.span_start
}
}