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update dependency queue to consider cost for each node #8908

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Nov 30, 2020
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6 changes: 5 additions & 1 deletion src/cargo/core/compiler/job_queue.rs
Original file line number Diff line number Diff line change
Expand Up @@ -370,7 +370,11 @@ impl<'cfg> JobQueue<'cfg> {
}
}

self.queue.queue(unit.clone(), job, queue_deps);
// For now we use a fixed placeholder value for the cost of each unit, but
// in the future this could be used to allow users to provide hints about
// relative expected costs of units, or this could be automatically set in
// a smarter way using timing data from a previous compilation.
self.queue.queue(unit.clone(), job, queue_deps, 100);
*self.counts.entry(unit.pkg.package_id()).or_insert(0) += 1;
Ok(())
}
Expand Down
82 changes: 62 additions & 20 deletions src/cargo/util/dependency_queue.rs
Original file line number Diff line number Diff line change
Expand Up @@ -31,8 +31,11 @@ pub struct DependencyQueue<N: Hash + Eq, E: Hash + Eq, V> {
/// easily indexable with just an `N`
reverse_dep_map: HashMap<N, HashMap<E, HashSet<N>>>,

/// The total number of packages that are transitively waiting on this package
/// The relative priority of this package. Higher values should be scheduled sooner.
priority: HashMap<N, usize>,

/// An expected cost for building this package. Used to determine priority.
cost: HashMap<N, usize>,
}

impl<N: Hash + Eq, E: Hash + Eq, V> Default for DependencyQueue<N, E, V> {
Expand All @@ -48,6 +51,7 @@ impl<N: Hash + Eq, E: Hash + Eq, V> DependencyQueue<N, E, V> {
dep_map: HashMap::new(),
reverse_dep_map: HashMap::new(),
priority: HashMap::new(),
cost: HashMap::new(),
}
}
}
Expand All @@ -63,7 +67,18 @@ impl<N: Hash + Eq + Clone, E: Eq + Hash + Clone, V> DependencyQueue<N, E, V> {
///
/// An optional `value` can also be associated with `key` which is reclaimed
/// when the node is ready to go.
pub fn queue(&mut self, key: N, value: V, dependencies: impl IntoIterator<Item = (N, E)>) {
///
/// The cost parameter can be used to hint at the relative cost of building
/// this node. This implementation does not care about the units of this value, so
/// the calling code is free to use whatever they'd like. In general, higher cost
/// nodes are expected to take longer to build.
pub fn queue(
&mut self,
key: N,
value: V,
dependencies: impl IntoIterator<Item = (N, E)>,
cost: usize,
) {
assert!(!self.dep_map.contains_key(&key));

let mut my_dependencies = HashSet::new();
Expand All @@ -76,7 +91,8 @@ impl<N: Hash + Eq + Clone, E: Eq + Hash + Clone, V> DependencyQueue<N, E, V> {
.or_insert_with(HashSet::new)
.insert(key.clone());
}
self.dep_map.insert(key, (my_dependencies, value));
self.dep_map.insert(key.clone(), (my_dependencies, value));
self.cost.insert(key, cost);
}

/// All nodes have been added, calculate some internal metadata and prepare
Expand All @@ -86,8 +102,19 @@ impl<N: Hash + Eq + Clone, E: Eq + Hash + Clone, V> DependencyQueue<N, E, V> {
for key in self.dep_map.keys() {
depth(key, &self.reverse_dep_map, &mut out);
}
self.priority = out.into_iter().map(|(n, set)| (n, set.len())).collect();
self.priority = out
.into_iter()
.map(|(n, set)| {
let total_cost =
self.cost[&n] + set.iter().map(|key| self.cost[key]).sum::<usize>();
(n, total_cost)
})
.collect();

/// Creates a flattened reverse dependency list. For a given key, finds the
/// set of nodes which depend on it, including transitively. This is different
/// from self.reverse_dep_map because self.reverse_dep_map only maps one level
/// of reverse dependencies.
fn depth<'a, N: Hash + Eq + Clone, E: Hash + Eq + Clone>(
key: &N,
map: &HashMap<N, HashMap<E, HashSet<N>>>,
Expand Down Expand Up @@ -123,16 +150,6 @@ impl<N: Hash + Eq + Clone, E: Eq + Hash + Clone, V> DependencyQueue<N, E, V> {
/// A package is ready to be built when it has 0 un-built dependencies. If
/// `None` is returned then no packages are ready to be built.
pub fn dequeue(&mut self) -> Option<(N, V)> {
// Look at all our crates and find everything that's ready to build (no
// deps). After we've got that candidate set select the one which has
// the maximum priority in the dependency graph. This way we should
// hopefully keep CPUs hottest the longest by ensuring that long
// dependency chains are scheduled early on in the build process and the
// leafs higher in the tree can fill in the cracks later.
//
// TODO: it'd be best here to throw in a heuristic of crate size as
// well. For example how long did this crate historically take to
// compile? How large is its source code? etc.
let next = self
.dep_map
.iter()
Expand Down Expand Up @@ -190,14 +207,14 @@ mod test {
use super::DependencyQueue;

#[test]
fn deep_first() {
fn deep_first_equal_cost() {
let mut q = DependencyQueue::new();

q.queue(1, (), vec![]);
q.queue(2, (), vec![(1, ())]);
q.queue(3, (), vec![]);
q.queue(4, (), vec![(2, ()), (3, ())]);
q.queue(5, (), vec![(4, ()), (3, ())]);
q.queue(1, (), vec![], 1);
q.queue(2, (), vec![(1, ())], 1);
q.queue(3, (), vec![], 1);
q.queue(4, (), vec![(2, ()), (3, ())], 1);
q.queue(5, (), vec![(4, ()), (3, ())], 1);
q.queue_finished();

assert_eq!(q.dequeue(), Some((1, ())));
Expand All @@ -214,4 +231,29 @@ mod test {
q.finish(&4, &());
assert_eq!(q.dequeue(), Some((5, ())));
}

#[test]
fn sort_by_highest_cost() {
let mut q = DependencyQueue::new();

q.queue(1, (), vec![], 1);
q.queue(2, (), vec![(1, ())], 1);
q.queue(3, (), vec![], 4);
q.queue(4, (), vec![(2, ()), (3, ())], 1);
q.queue_finished();

assert_eq!(q.dequeue(), Some((3, ())));
assert_eq!(q.dequeue(), Some((1, ())));
assert_eq!(q.dequeue(), None);
q.finish(&3, &());
assert_eq!(q.dequeue(), None);
q.finish(&1, &());
assert_eq!(q.dequeue(), Some((2, ())));
assert_eq!(q.dequeue(), None);
q.finish(&2, &());
assert_eq!(q.dequeue(), Some((4, ())));
assert_eq!(q.dequeue(), None);
q.finish(&4, &());
assert_eq!(q.dequeue(), None);
}
}