#![feature(arbitrary_self_types)] #![feature(arbitrary_self_types_pointers)] #![allow(clippy::needless_return)] // tokio macro-generated code doesn't respect this use std::{future::Future, time::Duration}; use anyhow::Result; use turbo_tasks::{TransientInstance, Vc}; use turbo_tasks_testing::{Registration, register, run}; static REGISTRATION: Registration = register!(); const COUNT1: u32 = 100; const COUNT2: u32 = 2000; async fn run_test( f: impl Fn() -> F + Sync + Send + Clone + 'static, limit: Duration, ) -> anyhow::Result<()> where F: Future> + Sync + Send + 'static, { // The first call will actually execute everything. let start = std::time::Instant::now(); f().await?; println!("Initial call took {:?}", start.elapsed()); let mut warmup_calls = Vec::new(); for _ in 0..10 { let start = std::time::Instant::now(); f().await?; let warmup_call = start.elapsed(); println!("Subsequent call took {warmup_call:?}"); warmup_calls.push(warmup_call); } // Susbsequent calls should be very fast. let start = std::time::Instant::now(); for _ in 0..COUNT1 { f().await?; } let subsequent = start.elapsed(); println!( "First {} subsequent calls took {:?} ({:?} per call)", COUNT1, subsequent, subsequent / COUNT1 ); let start = std::time::Instant::now(); for _ in 0..COUNT1 { f().await?; } let subsequent2 = start.elapsed(); println!( "Another {} subsequent calls took {:?} ({:?} per call)", COUNT1, subsequent2, subsequent2 / COUNT1 ); let start = std::time::Instant::now(); for _ in 0..COUNT1 { f().await?; } let subsequent3 = start.elapsed(); println!( "Another {} subsequent calls took {:?} ({:?} per call)", COUNT1, subsequent3, subsequent3 / COUNT1 ); if subsequent2 * 2 > subsequent * 3 || subsequent3 * 2 > subsequent * 3 { // Performance regresses with more calls // Check if this fixes itself eventually for i in 0.. { let start = std::time::Instant::now(); for _ in 0..COUNT1 { f().await?; } let subsequent4 = start.elapsed(); println!( "Another {} subsequent calls took {:?} ({:?} per call)", COUNT1, subsequent4, subsequent4 / COUNT1 ); if subsequent4 * 2 < subsequent * 3 { break; } if i >= 20 { panic!("Performance regressed with more calls"); } } } let start = std::time::Instant::now(); f().await?; let final_call = start.elapsed(); println!("Final call took {final_call:?}"); let target = subsequent / COUNT1; for (i, warmup_call) in warmup_calls.into_iter().enumerate() { assert!( warmup_call < target * 10, "Warmup call {} should be less than {:?}", i, target * 10 ); } assert!( subsequent < limit * COUNT1, "Each call should be less than {limit:?}" ); assert!( subsequent2 < limit * COUNT1, "Each call should be less than {limit:?}" ); assert!( subsequent3 < limit * COUNT1, "Each call should be less than {limit:?}" ); anyhow::Ok(()) } fn check_skip() -> bool { if matches!( std::env::var("TURBOPACK_TEST_PERFORMANCE").ok().as_deref(), None | Some("") | Some("no") | Some("false") ) { println!("Skipping test, pass `TURBOPACK_TEST_PERFORMANCE=yes` to run it"); return true; } false } #[tokio::test] async fn many_calls_to_many_children() { if check_skip() { return; } run(®ISTRATION, || { run_test( || calls_many_children(TransientInstance::new(()), None).strongly_consistent(), Duration::from_micros(100), ) }) .await .unwrap(); } #[tokio::test] async fn many_calls_to_uncached_many_children() { if check_skip() { return; } run(®ISTRATION, || { run_test( || { calls_many_children(TransientInstance::new(()), Some(TransientInstance::new(()))) .strongly_consistent() }, Duration::from_micros(100) * COUNT2, ) }) .await .unwrap(); } fn run_big_graph_test(counts: Vec) -> impl Future> + Send + 'static { println!( "Graph {:?} = {} tasks", counts, (1..=counts.len()) .map(|i| counts.iter().take(i).product::()) .sum::() ); run_test( move || calls_big_graph(counts.clone(), TransientInstance::new(())).strongly_consistent(), Duration::from_micros(100), ) } #[tokio::test] async fn many_calls_to_big_graph_1() { if check_skip() { return; } run(®ISTRATION, || run_big_graph_test(vec![5, 8, 10, 15, 20])) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_2() { if check_skip() { return; } run(®ISTRATION, || { run_big_graph_test(vec![2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) }) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_3() { if check_skip() { return; } run(®ISTRATION, || run_big_graph_test(vec![1000, 3, 3, 3, 3])) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_4() { if check_skip() { return; } run(®ISTRATION, || run_big_graph_test(vec![3, 3, 3, 3, 1000])) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_5() { if check_skip() { return; } run(®ISTRATION, || { run_big_graph_test(vec![10, 10, 10, 10, 10]) }) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_6() { if check_skip() { return; } run(®ISTRATION, || { run_big_graph_test(vec![2, 2, 2, 1000, 2, 2, 2]) }) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_7() { if check_skip() { return; } run(®ISTRATION, || { run_big_graph_test(vec![ 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 3, 2, 1, 1, 1, 1, 5, 1, 1, 1, 200, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, ]) }) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_8() { if check_skip() { return; } run(®ISTRATION, || { run_big_graph_test(vec![200, 2, 2, 2, 2, 200]) }) .await .unwrap(); } #[tokio::test] async fn many_calls_to_big_graph_9() { if check_skip() { return; } run(®ISTRATION, || { run_big_graph_test(vec![10000, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 1]) }) .await .unwrap(); } #[turbo_tasks::value] struct Value { value: u32, } #[turbo_tasks::function] fn calls_many_children(i: TransientInstance<()>, j: Option>) -> Vc<()> { let _ = i; let _ = many_children(j); Vc::cell(()) } #[turbo_tasks::function] fn many_children(_j: Option>) -> Vc<()> { for i in 0..COUNT2 { let _ = many_children_inner(i); } Vc::cell(()) } #[turbo_tasks::function] fn many_children_inner(_i: u32) -> Vc<()> { Vc::cell(()) } #[turbo_tasks::function] fn calls_big_graph(mut counts: Vec, i: TransientInstance<()>) -> Vc<()> { let _ = i; counts.reverse(); let _ = big_graph(counts, vec![]); Vc::cell(()) } #[turbo_tasks::function] fn big_graph(mut counts: Vec, keys: Vec) -> Vc<()> { let Some(count) = counts.pop() else { return Vc::cell(()); }; for i in 0..count { let new_keys = keys.iter().copied().chain(std::iter::once(i)).collect(); let _ = big_graph(counts.clone(), new_keys); } Vc::cell(()) }