File size: 6,195 Bytes
4e23b01 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | // bench/message-range.ts
//
// Benchmarks the "show me the user's most recent messages" query:
// predicate: role === 'user' AND ts >= since (last 7 days)
// order: ts DESC
// limit: 50 (the typical "recent N" UI pattern)
//
// This is a message-granularity range query with a SMALL LIMIT, which is a
// different shape from the session-level benches:
// - import-kimi-code / search-baseline index whole sessions (one doc/session).
// - the metadata lookups (workspace lookup, dt range over sessions) return
// ALL matches, so at small N a linear filter beats the index.
// Here, an ordered dt index can walk just `limit` entries (O(log N + limit))
// instead of scanning + sorting the whole set (O(N log M)). We measure at the
// real scale (~7.2k user messages) and at scaled-up sizes to find the
// crossover where the index starts winning.
//
// Run: node --import tsx bench/message-range.ts
import fs from 'node:fs/promises';
import { existsSync, readFileSync } from 'node:fs';
import path from 'node:path';
import os from 'node:os';
import { MiniDb } from '../src/index.js';
const fmt = (n: number) => n.toLocaleString('en-US', { maximumFractionDigits: 0 });
const LIMIT = 50;
const WINDOW_DAYS = 30; // replicated timestamps are spread over the last 30 days
const SINCE_DAYS = 7; // "recent" = last 7 days
interface Msg {
id: string;
ts: number;
role: string;
text: string;
}
function loadRealMessages(): Msg[] {
const DATA = path.join(os.homedir(), '.kimi-code');
const lines = readFileSync(path.join(DATA, 'session_index.jsonl'), 'utf8').trim().split('\n');
const out: Msg[] = [];
for (const line of lines) {
let meta: any;
try {
meta = JSON.parse(line);
} catch {
continue;
}
const wire = path.join(meta.sessionDir, 'agents', 'main', 'wire.jsonl');
if (!existsSync(wire)) continue;
let raw: string;
try {
raw = readFileSync(wire, 'utf8');
} catch {
continue;
}
for (const ln of raw.split('\n')) {
if (!ln) continue;
let o: any;
try {
o = JSON.parse(ln);
} catch {
continue;
}
if (o.type !== 'context.append_message' || !o.message) continue;
const m = o.message;
const ts = typeof o.time === 'number' ? o.time : 0;
let text = '';
for (const c of m.content || [])
if (c && c.type === 'text' && typeof c.text === 'string') text += c.text;
out.push({ id: `${meta.sessionId}:${out.length}`, ts, role: m.role || 'user', text });
}
}
return out;
}
// Replicate the real messages to N, spreading timestamps uniformly over the
// last WINDOW_DAYS so the "last SINCE_DAYS" match fraction stays ~constant.
function scaleTo(real: Msg[], n: number): Msg[] {
const now = Date.now();
const span = WINDOW_DAYS * 864e5;
const out: Msg[] = Array.from({ length: n }, (_, i) => {
const r = real[i % real.length]!;
return {
id: `m${i}`,
ts: now - Math.floor((i / n) * span),
role: r.role,
text: r.text,
};
});
return out;
}
async function buildMinidb(msgs: Msg[]): Promise<{ db: any; buildMs: number; dir: string }> {
const dir = await fs.mkdtemp(path.join(os.tmpdir(), 'minidb-msg-'));
const db = await MiniDb.open({ dir, valueCodec: 'json', fsyncPolicy: 'no', autoCompact: false });
const t0 = performance.now();
// concurrent insert in chunks to avoid one giant promise array
const CHUNK = 5000;
for (let s = 0; s < msgs.length; s += CHUNK) {
const p: Promise<unknown>[] = [];
for (let i = s; i < Math.min(s + CHUNK, msgs.length); i++) {
const m = msgs[i]!;
p.push(db.set(m.id, { role: m.role, text: m.text }, { dt: { ts: m.ts } }));
}
await Promise.all(p);
}
return { db, buildMs: performance.now() - t0, dir };
}
function med(fn: () => void, runs = 9): number {
const t: number[] = [];
for (let i = 0; i < runs; i++) {
const t0 = performance.now();
fn();
t.push(performance.now() - t0);
}
t.sort((a, b) => a - b);
return t[(runs / 2) | 0]!;
}
async function runCase(label: string, msgs: Msg[]) {
const since = Date.now() - SINCE_DAYS * 864e5;
// ---- minidb dt index ----
const { db, buildMs, dir } = await buildMinidb(msgs);
let indexHits = 0;
const indexMs = med(() => {
const res = db.dtRange('ts', { gte: since, reverse: true, limit: LIMIT });
indexHits = res.length;
});
// variant: return ALL matches (no limit), to mirror the earlier metadata case
let allHits = 0;
const indexAllMs = med(() => {
const res = db.dtRange('ts', { gte: since });
allHits = res.length;
});
if (global.gc) global.gc();
const heap = process.memoryUsage().heapUsed;
await db.close();
await fs.rm(dir, { recursive: true, force: true });
// ---- naive baseline ----
let naiveHits = 0;
const naiveMs = med(() => {
const res = msgs.filter((m) => m.ts >= since).sort((a, b) => b.ts - a.ts).slice(0, LIMIT);
naiveHits = res.length;
});
let naiveAllHits = 0;
const naiveAllMs = med(() => {
const res = msgs.filter((m) => m.ts >= since);
naiveAllHits = res.length;
});
console.log(`\n--- ${label}: N=${fmt(msgs.length)} messages ---`);
console.log(` build: minidb ${(buildMs / 1000).toFixed(2)}s | heap ${(heap / 1024 / 1024).toFixed(0)} MiB`);
console.log(
` top-${LIMIT} recent: minidb dtRange ${indexMs.toFixed(3)} ms (${indexHits}) vs naive filter+sort ${naiveMs.toFixed(3)} ms (${naiveHits}) -> ${(naiveMs / indexMs).toFixed(1)}x`,
);
console.log(
` ALL matches: minidb dtRange ${indexAllMs.toFixed(3)} ms (${fmt(allHits)}) vs naive filter ${naiveAllMs.toFixed(3)} ms (${fmt(naiveAllHits)}) -> ${(naiveAllMs / indexAllMs).toFixed(1)}x`,
);
}
async function main() {
const real = loadRealMessages();
console.log(`loaded ${fmt(real.length)} real user messages`);
const sizes = [real.length, 100_000, 1_000_000];
for (const n of sizes) {
const msgs = n === real.length ? real : scaleTo(real, n);
await runCase(n === real.length ? 'real data' : `scaled`, msgs);
}
console.log('\ndone.');
}
main().catch((e) => {
console.error(e);
process.exit(1);
});
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