Rust Performance Skill
Master performance optimization: profiling, benchmarking, and zero-cost abstractions.
Quick Start
Benchmarking
toml
[dev-dependencies]
criterion = { version = "0.5", features = ["html_reports"] }
[[bench]]
name = "my_bench"
harness = false
rust
use criterion::{criterion_group, criterion_main, Criterion, black_box};
fn benchmark(c: &mut Criterion) {
c.bench_function("fib", |b| {
b.iter(|| fibonacci(black_box(20)))
});
}
criterion_group!(benches, benchmark);
criterion_main!(benches);
Profiling
bash
cargo install flamegraph cargo flamegraph --bin my-app
Optimization Patterns
Avoid Allocations
rust
// ❌ Allocates each iteration
for s in strings {
result = result + &s;
}
// ✅ Pre-allocate
let mut result = String::with_capacity(total_len);
for s in strings {
result.push_str(&s);
}
Use Iterators
rust
// ❌ Intermediate collection let v: Vec<_> = data.iter().map(|x| x * 2).collect(); let sum: i32 = v.iter().sum(); // ✅ Lazy chain let sum: i32 = data.iter().map(|x| x * 2).sum();
Cow for Optional Clone
rust
use std::borrow::Cow;
fn process(input: &str) -> Cow<str> {
if input.contains("bad") {
Cow::Owned(input.replace("bad", "good"))
} else {
Cow::Borrowed(input)
}
}
Release Profile
toml
[profile.release] lto = true codegen-units = 1 opt-level = 3
Troubleshooting
| Problem | Solution |
|---|---|
| Slow debug | Use --release |
| Memory spikes | Use streaming |
| Cache misses | Improve data layout |