rust/crates/ide/src/prime_caches.rs

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//! rust-analyzer is lazy and doesn't compute anything unless asked. This
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//! sometimes is counter productive when, for example, the first goto definition
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//! request takes longer to compute. This modules implemented prepopulation of
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//! various caches, it's not really advanced at the moment.
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mod topologic_sort;
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use hir::db::DefDatabase;
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use ide_db::{
base_db::{
salsa::{Database, ParallelDatabase, Snapshot},
CrateGraph, CrateId, SourceDatabase, SourceDatabaseExt,
},
FxIndexMap,
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};
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use rustc_hash::FxHashSet;
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use crate::RootDatabase;
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/// We're indexing many crates.
#[derive(Debug)]
pub struct ParallelPrimeCachesProgress {
/// the crates that we are currently priming.
pub crates_currently_indexing: Vec<String>,
/// the total number of crates we want to prime.
pub crates_total: usize,
/// the total number of crates that have finished priming
pub crates_done: usize,
}
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pub(crate) fn parallel_prime_caches(
db: &RootDatabase,
num_worker_threads: u8,
cb: &(dyn Fn(ParallelPrimeCachesProgress) + Sync),
) {
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let _p = profile::span("prime_caches");
let graph = db.crate_graph();
let mut crates_to_prime = {
let crate_ids = compute_crates_to_prime(db, &graph);
let mut builder = topologic_sort::TopologicalSortIter::builder();
for &crate_id in &crate_ids {
let crate_data = &graph[crate_id];
let dependencies = crate_data
.dependencies
.iter()
.map(|d| d.crate_id)
.filter(|i| crate_ids.contains(i));
builder.add(crate_id, dependencies);
}
builder.build()
};
crossbeam_utils::thread::scope(move |s| {
let (work_sender, work_receiver) = crossbeam_channel::unbounded();
let (progress_sender, progress_receiver) = crossbeam_channel::unbounded();
enum ParallelPrimeCacheWorkerProgress {
BeginCrate { crate_id: CrateId, crate_name: String },
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EndCrate { crate_id: CrateId },
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}
let prime_caches_worker = move |db: Snapshot<RootDatabase>| {
while let Ok((crate_id, crate_name)) = work_receiver.recv() {
progress_sender
.send(ParallelPrimeCacheWorkerProgress::BeginCrate { crate_id, crate_name })?;
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// This also computes the DefMap
db.import_map(crate_id);
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progress_sender.send(ParallelPrimeCacheWorkerProgress::EndCrate { crate_id })?;
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}
Ok::<_, crossbeam_channel::SendError<_>>(())
};
for _ in 0..num_worker_threads {
let worker = prime_caches_worker.clone();
let db = db.snapshot();
s.spawn(move |_| worker(db));
}
let crates_total = crates_to_prime.len();
let mut crates_done = 0;
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// an index map is used to preserve ordering so we can sort the progress report in order of
// "longest crate to index" first
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let mut crates_currently_indexing =
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FxIndexMap::with_capacity_and_hasher(num_worker_threads as _, Default::default());
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while !crates_to_prime.is_empty() {
db.unwind_if_cancelled();
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for crate_id in &mut crates_to_prime {
work_sender
.send((
crate_id,
graph[crate_id].display_name.as_deref().unwrap_or_default().to_string(),
))
.ok();
}
let worker_progress = match progress_receiver.recv() {
Ok(p) => p,
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Err(_) => {
// our workers may have died from a cancelled task, so we'll check and re-raise here.
db.unwind_if_cancelled();
break;
}
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};
match worker_progress {
ParallelPrimeCacheWorkerProgress::BeginCrate { crate_id, crate_name } => {
crates_currently_indexing.insert(crate_id, crate_name);
}
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ParallelPrimeCacheWorkerProgress::EndCrate { crate_id } => {
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crates_currently_indexing.remove(&crate_id);
crates_to_prime.mark_done(crate_id);
crates_done += 1;
}
};
let progress = ParallelPrimeCachesProgress {
crates_currently_indexing: crates_currently_indexing.values().cloned().collect(),
crates_done,
crates_total,
};
cb(progress);
}
})
.unwrap();
}
fn compute_crates_to_prime(db: &RootDatabase, graph: &CrateGraph) -> FxHashSet<CrateId> {
// We're only interested in the workspace crates and the `ImportMap`s of their direct
// dependencies, though in practice the latter also compute the `DefMap`s.
// We don't prime transitive dependencies because they're generally not visible in
// the current workspace.
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graph
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.iter()
.filter(|&id| {
let file_id = graph[id].root_file_id;
let root_id = db.file_source_root(file_id);
!db.source_root(root_id).is_library
})
.flat_map(|id| graph[id].dependencies.iter().map(|krate| krate.crate_id))
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.collect()
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}