M9: benchmarks, chunked sorted map and JSON clone for the in-memory driver
Profiling showed document updates dominated by O(n) sorted-array splices; the chunked map makes inserts O(log n + chunk). Baselines recorded in DESIGN.md. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017Qxbkp4tA7G5SCWjzWuxmE
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import { bench, describe } from 'vitest'
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import { InMemoryKVDriver } from '../src/kv/memory.js'
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import { KVStorage } from '../src/kv/node.js'
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async function populated(n: number) {
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const db = new KVStorage(new InMemoryKVDriver())
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const users = db.child('users')
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const batch: [string, { name: string; n: number }][] = []
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for (let i = 0; i < n; i++) batch.push([`u${i}`, { name: `user ${i}`, n: i }])
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await users.setMany(batch)
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return users
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}
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for (const n of [10_000, 100_000]) {
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const users = await populated(n)
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const keys = Array.from({ length: 100 }, (_, i) => `u${(i * 7919) % n}`)
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let i = 0
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describe(`KV @ ${n / 1000}k keys`, () => {
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bench('get', async () => {
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await users.get(`u${i++ % n}`)
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})
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bench('set (overwrite)', async () => {
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await users.set(`u${i++ % n}`, { name: 'x', n: i })
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})
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bench('getMany x100', async () => {
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await users.getMany(keys)
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})
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})
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}
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