use criterion::{BenchmarkId, Criterion, Throughput, black_box, criterion_group, criterion_main};
use std::sync::Arc;
use std::thread;
const SMALL_OPS: usize = 1_000;
const MEDIUM_OPS: usize = 10_000;
const LARGE_OPS: usize = 100_000;
const THREAD_COUNTS: &[usize] = &[1, 2, 4, 8];
fn bench_single_thread_insert(c: &mut Criterion) {
let mut group = c.benchmark_group("single_thread_insert");
for &size in &[SMALL_OPS, MEDIUM_OPS, LARGE_OPS] {
group.throughput(Throughput::Elements(size as u64));
group.bench_with_input(BenchmarkId::new("kovan-map", size), &size, |b, &size| {
b.iter(|| {
let map = kovan_map::HashMap::new();
for i in 0..size {
map.insert(black_box(i), black_box(i * 2));
}
map
});
});
}
group.finish();
}
fn bench_single_thread_get(c: &mut Criterion) {
let mut group = c.benchmark_group("single_thread_get");
for &size in &[SMALL_OPS, MEDIUM_OPS, LARGE_OPS] {
group.throughput(Throughput::Elements(size as u64));
group.bench_with_input(BenchmarkId::new("kovan-map", size), &size, |b, &size| {
let map = kovan_map::HashMap::new();
for i in 0..size {
map.insert(i, i * 2);
}
b.iter(|| {
let mut sum = 0;
for i in 0..size {
if let Some(v) = map.get(&black_box(i)) {
sum += v;
}
}
sum
});
});
}
group.finish();
}
fn bench_concurrent_insert(c: &mut Criterion) {
let mut group = c.benchmark_group("concurrent_insert");
group.sample_size(20);
for &threads in THREAD_COUNTS {
let ops_per_thread = MEDIUM_OPS / threads;
let total_ops = ops_per_thread * threads;
group.throughput(Throughput::Elements(total_ops as u64));
group.bench_with_input(
BenchmarkId::new("kovan-map", threads),
&(threads, ops_per_thread),
|b, &(threads, ops)| {
b.iter(|| {
let map = Arc::new(kovan_map::HashMap::new());
let handles: Vec<_> = (0..threads)
.map(|tid| {
let map = Arc::clone(&map);
thread::spawn(move || {
for i in 0..ops {
let key = tid * ops + i;
map.insert(black_box(key), black_box(key * 2));
}
})
})
.collect();
for h in handles {
h.join().unwrap();
}
map
});
},
);
}
group.finish();
}
fn bench_concurrent_reads(c: &mut Criterion) {
let mut group = c.benchmark_group("concurrent_reads");
group.sample_size(20);
for &threads in THREAD_COUNTS {
let ops_per_thread = MEDIUM_OPS / threads;
let total_ops = ops_per_thread * threads;
group.throughput(Throughput::Elements(total_ops as u64));
group.bench_with_input(
BenchmarkId::new("kovan-map", threads),
&(threads, ops_per_thread),
|b, &(threads, ops)| {
let map = Arc::new(kovan_map::HashMap::new());
for i in 0..total_ops {
map.insert(i, i * 2);
}
b.iter(|| {
let handles: Vec<_> = (0..threads)
.map(|_| {
let map = Arc::clone(&map);
thread::spawn(move || {
let mut sum: usize = 0;
for i in 0..ops {
if let Some(v) = map.get(&black_box(i)) {
sum += v;
}
}
sum
})
})
.collect();
let sum: usize = handles.into_iter().map(|h| h.join().unwrap()).sum();
sum
});
},
);
}
group.finish();
}
fn bench_mixed_workload(c: &mut Criterion) {
let mut group = c.benchmark_group("mixed_90read_10write");
group.sample_size(20);
for &threads in THREAD_COUNTS {
let ops_per_thread = MEDIUM_OPS / threads;
let total_ops = ops_per_thread * threads;
group.throughput(Throughput::Elements(total_ops as u64));
group.bench_with_input(
BenchmarkId::new("kovan-map", threads),
&(threads, ops_per_thread),
|b, &(threads, ops)| {
let map = Arc::new(kovan_map::HashMap::new());
for i in 0..total_ops {
map.insert(i, i * 2);
}
b.iter(|| {
let handles: Vec<_> = (0..threads)
.map(|tid| {
let map = Arc::clone(&map);
thread::spawn(move || {
let mut sum: usize = 0;
for i in 0..ops {
if i % 10 == 0 {
let key = tid * ops + i;
map.insert(black_box(key), black_box(key));
} else {
if let Some(v) = map.get(&black_box(i)) {
sum += v;
}
}
}
sum
})
})
.collect();
let sum: usize = handles.into_iter().map(|h| h.join().unwrap()).sum();
sum
});
},
);
}
group.finish();
}
fn bench_read_heavy_workload(c: &mut Criterion) {
let mut group = c.benchmark_group("read_heavy_99read_1write");
group.sample_size(20);
for &threads in THREAD_COUNTS {
let ops_per_thread = MEDIUM_OPS / threads;
let total_ops = ops_per_thread * threads;
group.throughput(Throughput::Elements(total_ops as u64));
group.bench_with_input(
BenchmarkId::new("kovan-map", threads),
&(threads, ops_per_thread),
|b, &(threads, ops)| {
let map = Arc::new(kovan_map::HashMap::new());
for i in 0..total_ops {
map.insert(i, i * 2);
}
b.iter(|| {
let handles: Vec<_> = (0..threads)
.map(|tid| {
let map = Arc::clone(&map);
thread::spawn(move || {
let mut sum: usize = 0;
for i in 0..ops {
if i % 100 == 0 {
let key = tid * ops + i;
map.insert(black_box(key), black_box(key));
} else {
if let Some(v) = map.get(&black_box(i)) {
sum += v;
}
}
}
sum
})
})
.collect();
let sum: usize = handles.into_iter().map(|h| h.join().unwrap()).sum();
sum
});
},
);
}
group.finish();
}
criterion_group!(
benches,
bench_single_thread_insert,
bench_single_thread_get,
bench_concurrent_insert,
bench_concurrent_reads,
bench_mixed_workload,
bench_read_heavy_workload,
);
criterion_main!(benches);