Files
polyfill-rs/benches/ws_hot_path.rs
T

226 lines
7.6 KiB
Rust

//! Benchmarks for the WebSocket `book` hot path.
//!
//! These are intended to approximate a warmed, steady-state processing loop:
//! after init/warmup, per-message processing should avoid heap allocations.
//! The allocation checks live in `tests/no_alloc_hot_paths.rs`; these benches
//! focus on throughput/latency of the processing path.
use criterion::{black_box, criterion_group, criterion_main, BatchSize, Criterion, Throughput};
use polyfill_rs::types::BookUpdate;
use polyfill_rs::{OrderBookManager, OrderSummary, StreamMessage, WsBookUpdateProcessor};
use rust_decimal::Decimal;
use std::sync::atomic::{AtomicU64, Ordering};
const START_TIMESTAMP: u64 = 1_000_000_000_000_000;
const BOOK_ASSET_ID: &str = "test_asset_id";
const BOOK_MARKET: &str = "0xabc";
struct TimestampRange {
start: usize,
end: usize,
}
impl TimestampRange {
fn find(bytes: &[u8]) -> Self {
let needle = b"\"timestamp\":";
let Some(pos) = bytes.windows(needle.len()).position(|w| w == needle) else {
panic!("timestamp field not found in WS template JSON");
};
let start = pos + needle.len();
let mut end = start;
while end < bytes.len() && bytes[end].is_ascii_digit() {
end += 1;
}
if start == end {
panic!("timestamp digits not found in WS template JSON");
}
Self { start, end }
}
fn write_fixed_width(&self, bytes: &mut [u8], mut value: u64) {
let width = self.end - self.start;
// Write digits right-to-left into the existing digit window.
for idx in (0..width).rev() {
let digit = (value % 10) as u8;
bytes[self.start + idx] = b'0' + digit;
value /= 10;
}
}
}
fn price_string_from_ticks(ticks: u32) -> String {
let whole = ticks / 10_000;
let frac = ticks % 10_000;
format!("{whole}.{frac:04}")
}
fn build_book_update(levels_per_side: usize) -> BookUpdate {
let mut bids = Vec::with_capacity(levels_per_side);
let mut asks = Vec::with_capacity(levels_per_side);
let size = Decimal::new(1_000_000, 4); // 100.0000
for i in 0..levels_per_side {
let bid_ticks = 7_500u32 - i as u32;
let ask_ticks = 7_501u32 + i as u32;
bids.push(OrderSummary {
price: Decimal::new(bid_ticks as i64, 4),
size,
});
asks.push(OrderSummary {
price: Decimal::new(ask_ticks as i64, 4),
size,
});
}
BookUpdate {
asset_id: BOOK_ASSET_ID.to_string(),
market: BOOK_MARKET.to_string(),
timestamp: 1,
bids,
asks,
hash: None,
}
}
fn build_ws_book_template(levels_per_side: usize) -> Vec<u8> {
let mut json = String::new();
json.push_str("{\"event_type\":\"book\",\"asset_id\":\"");
json.push_str(BOOK_ASSET_ID);
json.push_str("\",\"market\":\"");
json.push_str(BOOK_MARKET);
json.push_str("\",\"timestamp\":");
json.push_str(&START_TIMESTAMP.to_string());
json.push_str(",\"bids\":[");
let size = "100.0000";
for i in 0..levels_per_side {
if i != 0 {
json.push(',');
}
let bid_ticks = 7_500u32 - i as u32;
let bid_price = price_string_from_ticks(bid_ticks);
json.push_str("{\"price\":\"");
json.push_str(&bid_price);
json.push_str("\",\"size\":\"");
json.push_str(size);
json.push_str("\"}");
}
json.push_str("],\"asks\":[");
for i in 0..levels_per_side {
if i != 0 {
json.push(',');
}
let ask_ticks = 7_501u32 + i as u32;
let ask_price = price_string_from_ticks(ask_ticks);
json.push_str("{\"price\":\"");
json.push_str(&ask_price);
json.push_str("\",\"size\":\"");
json.push_str(size);
json.push_str("\"}");
}
json.push_str("]}");
json.into_bytes()
}
fn bench_ws_book_process_bytes(c: &mut Criterion) {
let mut group = c.benchmark_group("ws_book_hot_path");
for levels_per_side in [1usize, 16, 64] {
let hot_path_books = OrderBookManager::new(levels_per_side * 2);
let _ = hot_path_books.get_or_create_book(BOOK_ASSET_ID).unwrap();
// Warm up: ensure all levels exist so the steady-state path doesn't allocate.
let warmup_update = build_book_update(levels_per_side);
hot_path_books.apply_book_update(&warmup_update).unwrap();
let template = build_ws_book_template(levels_per_side);
let tape_template = template.clone();
let ts_range = TimestampRange::find(&tape_template);
let mut processor = WsBookUpdateProcessor::new(tape_template.len());
let mut warmup_msg = tape_template.clone();
processor
.process_bytes(warmup_msg.as_mut_slice(), &hot_path_books)
.unwrap();
let counter = AtomicU64::new(START_TIMESTAMP);
group.throughput(Throughput::Bytes(tape_template.len() as u64));
group.bench_function(
format!("tape_process_and_apply_levels_per_side_{levels_per_side}"),
move |b| {
b.iter_batched(
|| {
let mut msg = tape_template.clone();
let ts = counter.fetch_add(1, Ordering::Relaxed) + 1;
ts_range.write_fixed_width(msg.as_mut_slice(), ts);
msg
},
|mut msg| {
let stats = processor
.process_bytes(
black_box(msg.as_mut_slice()),
black_box(&hot_path_books),
)
.unwrap();
black_box(stats);
},
BatchSize::SmallInput,
);
},
);
// Baseline: serde_json DOM -> StreamMessage -> BookUpdate -> apply to books.
//
// This is representative of our "non-hot-path" decoding approach and provides
// a direct comparison within the same benchmark.
let serde_books = OrderBookManager::new(levels_per_side * 2);
let _ = serde_books.get_or_create_book(BOOK_ASSET_ID).unwrap();
serde_books.apply_book_update(&warmup_update).unwrap();
let serde_template = template;
let serde_ts_range = TimestampRange::find(&serde_template);
let serde_counter = AtomicU64::new(START_TIMESTAMP);
group.bench_function(
format!("serde_decode_and_apply_levels_per_side_{levels_per_side}"),
move |b| {
b.iter_batched(
|| {
let mut msg = serde_template.clone();
let ts = serde_counter.fetch_add(1, Ordering::Relaxed) + 1;
serde_ts_range.write_fixed_width(msg.as_mut_slice(), ts);
msg
},
|msg| {
let messages = polyfill_rs::decode::parse_stream_messages_bytes(black_box(
msg.as_slice(),
))
.unwrap();
for message in messages {
if let StreamMessage::Book(update) = message {
serde_books.apply_book_update(&update).unwrap();
}
}
},
BatchSize::SmallInput,
);
},
);
}
group.finish();
}
criterion_group!(benches, bench_ws_book_process_bytes);
criterion_main!(benches);