tidaldb/tidal/benches/ranking.rs
jx12n 3bcfb3c576 feat: Bazel build, crate docs/ai-lookup, docker images, and engine hardening
- Add BUILD.bazel across tidal, tidal-net, tidal-server, tidalctl for bzlmod build
- Add tidal/ crate docs (README, CHANGELOG, CONTRIBUTING, AGENTS, CLAUDE, API, ARCHITECTURE) and ai-lookup reference
- Add docker standalone/cluster/deploy images, compose, and prometheus config
- Harden WAL (batch format, writer, dedup, diagnostics), text syncer/collectors, and vector registry
- Expand tidalctl CLI and tests; restructure WAL/visibility integration test suites
- Refine tidal-net transport/client/server and tidal-server cluster/scatter-gather
2026-06-07 18:29:38 -06:00

103 lines
3.7 KiB
Rust

#![allow(clippy::unwrap_used)]
//! Criterion benchmarks for the ranking profile executor.
//!
//! Measures scoring latency for 200 candidates across different profiles:
//! - `trending`: exercises velocity reads + gate filtering
//! - `hot`: exercises view count reads + age computation
//! - `full_pipeline`: trending with gates (filter + sort + normalize)
use std::time::Duration;
use criterion::{Criterion, black_box, criterion_group, criterion_main};
use tidaldb::{
ranking::{ProfileExecutor, ProfileRegistry, builtins::register_builtins},
schema::{DecaySpec, EntityId, EntityKind, SchemaBuilder, Timestamp, Window},
signals::{NoopWalWriter, SignalLedger},
};
#[allow(clippy::cast_precision_loss)]
fn make_ledger_with_200_items() -> SignalLedger {
let mut builder = SchemaBuilder::new();
for sig in &["view", "share", "like"] {
let _ = builder
.signal(
sig,
EntityKind::Item,
DecaySpec::Exponential {
half_life: Duration::from_secs(7 * 24 * 3600),
},
)
.windows(&[Window::OneHour, Window::SevenDays])
.velocity(true)
.add();
}
let schema = builder.build().unwrap();
let ledger = SignalLedger::new(schema, Box::new(NoopWalWriter));
let base_ns = 1_708_000_000_000_000_000u64;
for i in 0u64..200 {
let entity_id = EntityId::new(i + 1);
let ts = Timestamp::from_nanos(base_ns - i * 3_600_000_000_000);
ledger
.record_signal("view", entity_id, (200 - i) as f64, ts)
.unwrap();
ledger
.record_signal("share", entity_id, (i % 10) as f64, ts)
.unwrap();
ledger
.record_signal("like", entity_id, (i % 5) as f64, ts)
.unwrap();
}
ledger
}
fn bench_score_200_trending(c: &mut Criterion) {
let ledger = make_ledger_with_200_items();
let mut registry = ProfileRegistry::new();
register_builtins(&mut registry).unwrap();
let profile = registry.get("trending").unwrap().clone();
let executor = ProfileExecutor::new(&ledger);
let candidates: Vec<EntityId> = (1..=200).map(EntityId::new).collect();
let now = Timestamp::from_nanos(1_708_000_000_000_000_000u64);
c.bench_function("score_200_trending", |b| {
b.iter(|| executor.score(black_box(&candidates), black_box(&profile), black_box(now)));
});
}
fn bench_score_200_hot(c: &mut Criterion) {
let ledger = make_ledger_with_200_items();
let mut registry = ProfileRegistry::new();
register_builtins(&mut registry).unwrap();
let profile = registry.get("hot").unwrap().clone();
let executor = ProfileExecutor::new(&ledger);
let candidates: Vec<EntityId> = (1..=200).map(EntityId::new).collect();
let now = Timestamp::from_nanos(1_708_000_000_000_000_000u64);
c.bench_function("score_200_hot", |b| {
b.iter(|| executor.score(black_box(&candidates), black_box(&profile), black_box(now)));
});
}
fn bench_score_200_full_pipeline(c: &mut Criterion) {
let ledger = make_ledger_with_200_items();
let mut registry = ProfileRegistry::new();
register_builtins(&mut registry).unwrap();
let profile = registry.get("trending").unwrap().clone();
let executor = ProfileExecutor::new(&ledger);
let candidates: Vec<EntityId> = (1..=200).map(EntityId::new).collect();
let now = Timestamp::from_nanos(1_708_000_000_000_000_000u64);
c.bench_function("score_200_full_pipeline", |b| {
b.iter(|| executor.score(black_box(&candidates), black_box(&profile), black_box(now)));
});
}
criterion_group!(
benches,
bench_score_200_trending,
bench_score_200_hot,
bench_score_200_full_pipeline
);
criterion_main!(benches);