use std::time::{Duration, Instant};
use serde_json::{json, Value as JsonValue};
use this_me::kernel::{Kernel, RecomputeMode, Value};
const ISOLATION_SIZES: &[usize] = &[10, 100, 1_000, 5_000, 10_000];
const ISOLATION_WARMUP: usize = 20;
const ISOLATION_RUNS: usize = 200;
const SUSTAINED_NODES: usize = 4_000;
const SUSTAINED_UPDATES: usize = 2_000;
const SUSTAINED_WINDOW: usize = 200;
const PUSH_PULL_CASES: &[PushPullCase] = &[
PushPullCase {
fanout: 10,
iterations: 150,
},
PushPullCase {
fanout: 100,
iterations: 150,
},
PushPullCase {
fanout: 500,
iterations: 80,
},
PushPullCase {
fanout: 1_000,
iterations: 50,
},
PushPullCase {
fanout: 2_500,
iterations: 20,
},
PushPullCase {
fanout: 5_000,
iterations: 10,
},
];
const SECRET_NODES: usize = 600;
const SECRET_WRITE_READ_RUNS: usize = 1_500;
const SECRET_DERIVATION_RUNS: usize = 240;
#[derive(Debug, Clone, Copy)]
struct PushPullCase {
fanout: usize,
iterations: usize,
}
fn main() {
let output = json!({
"suite": "this.me mirror benchmark",
"implementation": "rust",
"version": env!("CARGO_PKG_VERSION"),
"cases": {
"ok_isolation": run_ok_isolation(),
"sustained_mutation": run_sustained_mutation(),
"push_pull": run_push_pull(),
"secret_scope": run_secret_scope(),
}
});
println!("{}", serde_json::to_string_pretty(&output).unwrap());
}
fn run_ok_isolation() -> JsonValue {
JsonValue::Array(
ISOLATION_SIZES
.iter()
.map(|nodes| {
let mut kernel = Kernel::new();
for index in 0..*nodes {
kernel
.postulate(format!("bench.irrelevant[{index}].value"), index as u64)
.expect("irrelevant write should succeed");
}
kernel.postulate("order.price", 10_u64).unwrap();
kernel.postulate("order.quantity", 3_u64).unwrap();
kernel.derive("order", "total", "price * quantity").unwrap();
for run in 0..ISOLATION_WARMUP {
let price = 11 + (run % 7) as u64;
kernel.postulate("order.price", price).unwrap();
assert_eq!(
kernel.read("order.total"),
Some(&Value::from((price * 3) as f64))
);
}
let mut samples = Vec::with_capacity(ISOLATION_RUNS);
let mut result = Value::Null;
for run in 0..ISOLATION_RUNS {
let price = 20 + (run % 7) as u64;
let started = Instant::now();
kernel.postulate("order.price", price).unwrap();
result = kernel.read("order.total").cloned().unwrap();
samples.push(started.elapsed());
assert_eq!(result, Value::from((price * 3) as f64));
}
samples.sort_unstable();
let explanation = kernel.explain("order.total").unwrap();
json!({
"nodes": nodes,
"runs": ISOLATION_RUNS,
"p50_ms": millis(percentile(&samples, 50)),
"p95_ms": millis(percentile(&samples, 95)),
"p99_ms": millis(percentile(&samples, 99)),
"max_ms": millis(*samples.last().unwrap()),
"k": explanation.meta.k,
"result": display_value(&result),
"memories": kernel.memories().len(),
})
})
.collect(),
)
}
fn run_sustained_mutation() -> JsonValue {
let mut kernel = Kernel::new();
for index in 1..=SUSTAINED_NODES {
kernel
.postulate(format!("items[{index}].value"), sustained_base_value(index))
.unwrap();
kernel
.postulate(format!("items[{index}].factor"), 1_u64)
.unwrap();
}
kernel.derive("items[1]", "score", "value * 2").unwrap();
kernel
.derive(
format!("items[{SUSTAINED_NODES}]"),
"score",
"value * factor",
)
.unwrap();
let mut samples = Vec::with_capacity(SUSTAINED_UPDATES);
for update in 1..=SUSTAINED_UPDATES {
let factor = (update % 17) + 1;
let mutation_path = format!("items[{SUSTAINED_NODES}].factor");
let started = Instant::now();
kernel.postulate(mutation_path, factor as u64).unwrap();
let score = kernel
.read(format!("items[{SUSTAINED_NODES}].score"))
.cloned()
.unwrap();
samples.push(started.elapsed());
assert_eq!(
score,
Value::from((sustained_base_value(SUSTAINED_NODES) * factor as u64) as f64)
);
}
json!({
"nodes": SUSTAINED_NODES,
"updates": SUSTAINED_UPDATES,
"window": SUSTAINED_WINDOW,
"overall": duration_summary(&samples),
"windows": duration_windows(&samples, SUSTAINED_WINDOW),
"p95_drift_pct": p95_drift_pct(&samples, SUSTAINED_WINDOW),
})
}
fn run_push_pull() -> JsonValue {
let rows = [RecomputeMode::Eager, RecomputeMode::Lazy]
.into_iter()
.flat_map(|mode| {
PUSH_PULL_CASES
.iter()
.map(move |case| run_push_pull_case(*case, mode))
})
.collect::<Vec<_>>();
JsonValue::Array(rows)
}
fn run_push_pull_case(case: PushPullCase, mode: RecomputeMode) -> JsonValue {
let fanout = case.fanout;
let read_path = format!("dep[{fanout}].result");
let mut kernel = setup_push_pull_graph(fanout, mode);
let mut mutation_samples = Vec::with_capacity(case.iterations);
let mut read_samples = Vec::with_capacity(case.iterations);
for iteration in 0..case.iterations {
let next_master = (iteration % 97) + 2;
let started = Instant::now();
kernel
.postulate("master.value", next_master as u64)
.unwrap();
mutation_samples.push(started.elapsed());
let started = Instant::now();
let result = kernel.read_fresh(read_path.clone()).unwrap();
read_samples.push(started.elapsed());
assert_eq!(
result,
Value::from((fanout as u64 * next_master as u64) as f64)
);
}
mutation_samples.sort_unstable();
read_samples.sort_unstable();
let explanation = kernel.explain(read_path).unwrap();
json!({
"mode": recompute_mode_label(mode),
"fanout": fanout,
"iterations": case.iterations,
"k": explanation.meta.k,
"mutation_p50_ms": millis(percentile(&mutation_samples, 50)),
"mutation_p95_ms": millis(percentile(&mutation_samples, 95)),
"mutation_p99_ms": millis(percentile(&mutation_samples, 99)),
"read_p50_ms": millis(percentile(&read_samples, 50)),
"read_p95_ms": millis(percentile(&read_samples, 95)),
"read_p99_ms": millis(percentile(&read_samples, 99)),
})
}
fn setup_push_pull_graph(fanout: usize, mode: RecomputeMode) -> Kernel {
let mut kernel = Kernel::new();
kernel.set_recompute_mode(mode);
kernel.postulate("master.value", 1_u64).unwrap();
for index in 1..=fanout {
kernel
.postulate(format!("dep[{index}].value"), index as u64)
.unwrap();
kernel
.derive(format!("dep[{index}]"), "result", "value * master.value")
.unwrap();
}
assert_eq!(
kernel.read_fresh(format!("dep[{fanout}].result")),
Some(Value::from(fanout as f64))
);
kernel
}
fn run_secret_scope() -> JsonValue {
JsonValue::Array(vec![
measure_public_write_read(),
measure_secret_write_read(),
measure_public_derivation(),
measure_secret_derivation(),
])
}
fn measure_public_write_read() -> JsonValue {
let mut kernel = Kernel::new();
kernel.postulate("public.value", 0_u64).unwrap();
run_write_read_loop(
kernel,
"write_read",
"public",
"public.value",
SECRET_WRITE_READ_RUNS,
)
}
fn measure_secret_write_read() -> JsonValue {
let mut kernel = Kernel::new();
kernel.secret("secure", "bench-secret-2026").unwrap();
kernel.postulate("secure.value", 0_u64).unwrap();
run_write_read_loop(
kernel,
"write_read",
"secret",
"secure.value",
SECRET_WRITE_READ_RUNS,
)
}
fn measure_public_derivation() -> JsonValue {
let mut kernel = Kernel::new();
kernel.set_recompute_mode(RecomputeMode::Lazy);
kernel.postulate("factor.value", 2_u64).unwrap();
for index in 1..=SECRET_NODES {
kernel
.postulate(format!("pub[{index}].value"), secret_base_value(index))
.unwrap();
kernel
.derive(format!("pub[{index}]"), "out", "value * factor.value")
.unwrap();
}
assert_eq!(
kernel.read_fresh(format!("pub[{SECRET_NODES}].out")),
Some(Value::from((secret_base_value(SECRET_NODES) * 2) as f64))
);
run_derivation_loop(
kernel,
"derivation_lazy",
"public",
"factor.value",
format!("pub[{SECRET_NODES}].out"),
SECRET_DERIVATION_RUNS,
)
}
fn measure_secret_derivation() -> JsonValue {
let mut kernel = Kernel::new();
kernel.set_recompute_mode(RecomputeMode::Lazy);
kernel.secret("secure", "bench-secret-2026").unwrap();
kernel.postulate("secure.factor", 2_u64).unwrap();
for index in 1..=SECRET_NODES {
kernel
.postulate(
format!("secure.data[{index}].value"),
secret_base_value(index),
)
.unwrap();
kernel
.derive(
format!("secure.data[{index}]"),
"out",
"value * secure.factor",
)
.unwrap();
}
assert_eq!(
kernel.read_fresh(format!("secure.data[{SECRET_NODES}].out")),
Some(Value::from((secret_base_value(SECRET_NODES) * 2) as f64))
);
run_derivation_loop(
kernel,
"derivation_lazy",
"secret",
"secure.factor",
format!("secure.data[{SECRET_NODES}].out"),
SECRET_DERIVATION_RUNS,
)
}
fn run_write_read_loop(
mut kernel: Kernel,
case: &'static str,
scope: &'static str,
path: &str,
iterations: usize,
) -> JsonValue {
let mut samples = Vec::with_capacity(iterations);
for iteration in 0..iterations {
let value = (iteration % 17) + 1;
let started = Instant::now();
kernel.postulate(path, value as u64).unwrap();
let result = kernel.read(path).cloned().unwrap();
samples.push(started.elapsed());
assert_eq!(result, Value::from(value as u64));
}
samples.sort_unstable();
json!({
"case": case,
"scope": scope,
"iterations": iterations,
"p50_ms": millis(percentile(&samples, 50)),
"p95_ms": millis(percentile(&samples, 95)),
"p99_ms": millis(percentile(&samples, 99)),
"k": 0,
})
}
fn run_derivation_loop(
mut kernel: Kernel,
case: &'static str,
scope: &'static str,
mutation_path: &str,
read_path: String,
iterations: usize,
) -> JsonValue {
let mut samples = Vec::with_capacity(iterations);
for iteration in 0..iterations {
let factor = (iteration % 7) + 1;
let expected = secret_base_value(SECRET_NODES) * factor as u64;
let started = Instant::now();
kernel.postulate(mutation_path, factor as u64).unwrap();
let result = kernel.read_fresh(read_path.clone()).unwrap();
samples.push(started.elapsed());
assert_eq!(result, Value::from(expected as f64));
}
samples.sort_unstable();
let explanation = kernel.explain(read_path).unwrap();
json!({
"case": case,
"scope": scope,
"nodes": SECRET_NODES,
"iterations": iterations,
"p50_ms": millis(percentile(&samples, 50)),
"p95_ms": millis(percentile(&samples, 95)),
"p99_ms": millis(percentile(&samples, 99)),
"k": explanation.meta.k,
})
}
fn duration_summary(samples: &[Duration]) -> JsonValue {
let mut sorted = samples.to_vec();
sorted.sort_unstable();
json!({
"p50_ms": millis(percentile(&sorted, 50)),
"p95_ms": millis(percentile(&sorted, 95)),
"p99_ms": millis(percentile(&sorted, 99)),
"max_ms": millis(*sorted.last().unwrap()),
})
}
fn duration_windows(samples: &[Duration], window_size: usize) -> JsonValue {
JsonValue::Array(
samples
.chunks(window_size)
.enumerate()
.map(|(index, window)| {
let mut sorted = window.to_vec();
sorted.sort_unstable();
json!({
"start": index * window_size + 1,
"end": index * window_size + window.len(),
"p50_ms": millis(percentile(&sorted, 50)),
"p95_ms": millis(percentile(&sorted, 95)),
"p99_ms": millis(percentile(&sorted, 99)),
})
})
.collect(),
)
}
fn p95_drift_pct(samples: &[Duration], window_size: usize) -> f64 {
let windows = samples.chunks(window_size).collect::<Vec<_>>();
let Some(first) = windows.first() else {
return 0.0;
};
let Some(last) = windows.last() else {
return 0.0;
};
let mut first_sorted = first.to_vec();
let mut last_sorted = last.to_vec();
first_sorted.sort_unstable();
last_sorted.sort_unstable();
let first_p95 = millis(percentile(&first_sorted, 95));
let last_p95 = millis(percentile(&last_sorted, 95));
if first_p95 > 0.0 {
((last_p95 - first_p95) / first_p95) * 100.0
} else {
0.0
}
}
fn sustained_base_value(index: usize) -> u64 {
10 + (index % 7) as u64
}
fn secret_base_value(index: usize) -> u64 {
100 + (index % 11) as u64
}
fn recompute_mode_label(mode: RecomputeMode) -> &'static str {
match mode {
RecomputeMode::Eager => "eager",
RecomputeMode::Lazy => "lazy",
}
}
fn percentile(samples: &[Duration], percentile: usize) -> Duration {
assert!(!samples.is_empty());
let index = ((samples.len() - 1) * percentile).div_ceil(100);
samples[index.min(samples.len() - 1)]
}
fn millis(duration: Duration) -> f64 {
duration.as_secs_f64() * 1_000.0
}
fn display_value(value: &Value) -> JsonValue {
match value {
Value::Null => JsonValue::Null,
Value::Bool(value) => json!(value),
Value::Number(value) => json!(value),
Value::String(value) => json!(value),
Value::Array(_) => json!("[array]"),
Value::Object(_) => json!("{object}"),
Value::Pointer(path) => json!(format!("->{}", path.join("."))),
Value::Identity(id) => json!(format!("@{id}")),
}
}