use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering}; use std::sync::Mutex; use crate::iter::plumbing::{bridge_unindexed, Folder, UnindexedConsumer, UnindexedProducer}; use crate::iter::ParallelIterator; use crate::{current_num_threads, current_thread_index}; /// Conversion trait to convert an `Iterator` to a `ParallelIterator`. /// /// This creates a "bridge" from a sequential iterator to a parallel one, by distributing its items /// across the Rayon thread pool. This has the advantage of being able to parallelize just about /// anything, but the resulting `ParallelIterator` can be less efficient than if you started with /// `par_iter` instead. However, it can still be useful for iterators that are difficult to /// parallelize by other means, like channels or file or network I/O. /// /// The resulting iterator is not guaranteed to keep the order of the original iterator. /// /// # Examples /// /// To use this trait, take an existing `Iterator` and call `par_bridge` on it. After that, you can /// use any of the `ParallelIterator` methods: /// /// ``` /// use rayon::iter::ParallelBridge; /// use rayon::prelude::ParallelIterator; /// use std::sync::mpsc::channel; /// /// let rx = { /// let (tx, rx) = channel(); /// /// tx.send("one!"); /// tx.send("two!"); /// tx.send("three!"); /// /// rx /// }; /// /// let mut output: Vec<&'static str> = rx.into_iter().par_bridge().collect(); /// output.sort_unstable(); /// /// assert_eq!(&*output, &["one!", "three!", "two!"]); /// ``` pub trait ParallelBridge: Sized { /// Creates a bridge from this type to a `ParallelIterator`. fn par_bridge(self) -> IterBridge; } impl ParallelBridge for T where T::Item: Send, { fn par_bridge(self) -> IterBridge { IterBridge { iter: self } } } /// `IterBridge` is a parallel iterator that wraps a sequential iterator. /// /// This type is created when using the `par_bridge` method on `ParallelBridge`. See the /// [`ParallelBridge`] documentation for details. /// /// [`ParallelBridge`]: trait.ParallelBridge.html #[derive(Debug, Clone)] pub struct IterBridge { iter: Iter, } impl ParallelIterator for IterBridge where Iter::Item: Send, { type Item = Iter::Item; fn drive_unindexed(self, consumer: C) -> C::Result where C: UnindexedConsumer, { let num_threads = current_num_threads(); let threads_started: Vec<_> = (0..num_threads).map(|_| AtomicBool::new(false)).collect(); bridge_unindexed( &IterParallelProducer { split_count: AtomicUsize::new(num_threads), iter: Mutex::new(self.iter.fuse()), threads_started: &threads_started, }, consumer, ) } } struct IterParallelProducer<'a, Iter> { split_count: AtomicUsize, iter: Mutex>, threads_started: &'a [AtomicBool], } impl UnindexedProducer for &IterParallelProducer<'_, Iter> { type Item = Iter::Item; fn split(self) -> (Self, Option) { let mut count = self.split_count.load(Ordering::SeqCst); loop { // Check if the iterator is exhausted if let Some(new_count) = count.checked_sub(1) { match self.split_count.compare_exchange_weak( count, new_count, Ordering::SeqCst, Ordering::SeqCst, ) { Ok(_) => return (self, Some(self)), Err(last_count) => count = last_count, } } else { return (self, None); } } } fn fold_with(self, mut folder: F) -> F where F: Folder, { // Guard against work-stealing-induced recursion, in case `Iter::next()` // calls rayon internally, so we don't deadlock our mutex. We might also // be recursing via `folder` methods, which doesn't present a mutex hazard, // but it's lower overhead for us to just check this once, rather than // updating additional shared state on every mutex lock/unlock. // (If this isn't a rayon thread, then there's no work-stealing anyway...) if let Some(i) = current_thread_index() { // Note: If the number of threads in the pool ever grows dynamically, then // we'll end up sharing flags and may falsely detect recursion -- that's // still fine for overall correctness, just not optimal for parallelism. let thread_started = &self.threads_started[i % self.threads_started.len()]; if thread_started.swap(true, Ordering::Relaxed) { // We can't make progress with a nested mutex, so just return and let // the outermost loop continue with the rest of the iterator items. return folder; } } loop { if let Ok(mut iter) = self.iter.lock() { if let Some(it) = iter.next() { drop(iter); folder = folder.consume(it); if folder.full() { return folder; } } else { return folder; } } else { // any panics from other threads will have been caught by the pool, // and will be re-thrown when joined - just exit return folder; } } } }