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perf(runtime): cap tokio workers at 4

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The cap of 8 was a conservative pick from 8ccb0b9a; that commit's own
setup benchmark had the 4-worker / 8-blocking row as the best config:
639.3ms avg / 645.5ms max setup time and 22.1 avg threads, ahead of the
adopted 8-worker row (650.1ms / 662.4ms, 26.0 threads).

Startup parallelism is unaffected in practice: the setup join! polls
cooperatively on one task, and CPU work (validation, script eval, YAML
parse) runs on the spawn_blocking pool, which keeps its 8-thread cap
through the existing 2x invariant. A 12h live session showed the 8 idle
workers accumulating under 0.5s CPU total, so four parked stacks
(~0.4MB dirty) are pure overhead.
This commit is contained in:
Tunglies
2026-10-13 21:35:03 +08:00
parent 5b10331022
commit b20fdc9b96
1 changed files with 1 additions and 1 deletions
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src-tauri/src/main.rs
+1 -1
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@@ -16,7 +16,7 @@ fn main() -> ExitCode {
#[cfg(not(all(feature = "perf-harness", target_os = "macos")))] #[cfg(not(all(feature = "perf-harness", target_os = "macos")))]
fn main() -> ExitCode { fn main() -> ExitCode {
let default_parallelism = std::thread::available_parallelism().map(|n| n.get()).unwrap_or(1); let default_parallelism = std::thread::available_parallelism().map(|n| n.get()).unwrap_or(1);
let worker_limit = std::cmp::min(default_parallelism, 8); let worker_limit = std::cmp::min(default_parallelism, 4);
let blocking_limit = 2 * worker_limit; let blocking_limit = 2 * worker_limit;
#[allow(clippy::unwrap_used)] #[allow(clippy::unwrap_used)]