160 lines
5.6 KiB
Rust
160 lines
5.6 KiB
Rust
//! 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 std::time::Duration;
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use hir::db::DefDatabase;
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use ide_db::{
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base_db::{
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salsa::{Database, ParallelDatabase, Snapshot},
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Cancelled, CrateGraph, CrateId, SourceDatabase, SourceDatabaseExt,
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},
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FxIndexMap,
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};
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use stdx::hash::NoHashHashSet;
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use crate::RootDatabase;
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/// We're indexing many crates.
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#[derive(Debug)]
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pub struct ParallelPrimeCachesProgress {
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/// the crates that we are currently priming.
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pub crates_currently_indexing: Vec<String>,
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/// the total number of crates we want to prime.
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pub crates_total: usize,
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/// the total number of crates that have finished priming
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pub crates_done: usize,
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}
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pub(crate) fn parallel_prime_caches(
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db: &RootDatabase,
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num_worker_threads: u8,
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cb: &(dyn Fn(ParallelPrimeCachesProgress) + Sync),
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) {
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let _p = profile::span("prime_caches");
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let graph = db.crate_graph();
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let mut crates_to_prime = {
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let crate_ids = compute_crates_to_prime(db, &graph);
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let mut builder = topologic_sort::TopologicalSortIter::builder();
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for &crate_id in &crate_ids {
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let crate_data = &graph[crate_id];
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let dependencies = crate_data
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.dependencies
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.iter()
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.map(|d| d.crate_id)
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.filter(|i| crate_ids.contains(i));
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builder.add(crate_id, dependencies);
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}
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builder.build()
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};
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enum ParallelPrimeCacheWorkerProgress {
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BeginCrate { crate_id: CrateId, crate_name: String },
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EndCrate { crate_id: CrateId },
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}
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let (work_sender, progress_receiver) = {
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let (progress_sender, progress_receiver) = crossbeam_channel::unbounded();
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let (work_sender, work_receiver) = crossbeam_channel::unbounded();
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let prime_caches_worker = move |db: Snapshot<RootDatabase>| {
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while let Ok((crate_id, crate_name)) = work_receiver.recv() {
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progress_sender
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.send(ParallelPrimeCacheWorkerProgress::BeginCrate { crate_id, crate_name })?;
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// This also computes the DefMap
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db.import_map(crate_id);
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progress_sender.send(ParallelPrimeCacheWorkerProgress::EndCrate { crate_id })?;
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}
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Ok::<_, crossbeam_channel::SendError<_>>(())
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};
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for _ in 0..num_worker_threads {
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let worker = prime_caches_worker.clone();
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let db = db.snapshot();
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std::thread::spawn(move || Cancelled::catch(|| worker(db)));
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}
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(work_sender, progress_receiver)
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};
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let crates_total = crates_to_prime.pending();
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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
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// "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_done < crates_total {
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db.unwind_if_cancelled();
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for crate_id in &mut crates_to_prime {
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work_sender
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.send((
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crate_id,
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graph[crate_id].display_name.as_deref().unwrap_or_default().to_string(),
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))
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.ok();
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}
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// recv_timeout is somewhat a hack, we need a way to from this thread check to see if the current salsa revision
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// is cancelled on a regular basis. workers will only exit if they are processing a task that is cancelled, or
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// if this thread exits, and closes the work channel.
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let worker_progress = match progress_receiver.recv_timeout(Duration::from_millis(10)) {
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Ok(p) => p,
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Err(crossbeam_channel::RecvTimeoutError::Timeout) => {
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continue;
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}
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Err(crossbeam_channel::RecvTimeoutError::Disconnected) => {
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// our workers may have died from a cancelled task, so we'll check and re-raise here.
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db.unwind_if_cancelled();
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break;
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}
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};
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match worker_progress {
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ParallelPrimeCacheWorkerProgress::BeginCrate { crate_id, crate_name } => {
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crates_currently_indexing.insert(crate_id, crate_name);
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}
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ParallelPrimeCacheWorkerProgress::EndCrate { crate_id } => {
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crates_currently_indexing.remove(&crate_id);
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crates_to_prime.mark_done(crate_id);
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crates_done += 1;
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}
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};
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let progress = ParallelPrimeCachesProgress {
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crates_currently_indexing: crates_currently_indexing.values().cloned().collect(),
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crates_done,
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crates_total,
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};
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cb(progress);
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}
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}
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fn compute_crates_to_prime(db: &RootDatabase, graph: &CrateGraph) -> NoHashHashSet<CrateId> {
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// We're only interested in the workspace crates and the `ImportMap`s of their direct
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// dependencies, though in practice the latter also compute the `DefMap`s.
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// We don't prime transitive dependencies because they're generally not visible in
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// the current workspace.
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graph
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.iter()
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.filter(|&id| {
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let file_id = graph[id].root_file_id;
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let root_id = db.file_source_root(file_id);
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!db.source_root(root_id).is_library
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})
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.flat_map(|id| graph[id].dependencies.iter().map(|krate| krate.crate_id))
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.collect()
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}
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