docs(search): record FTS removal benchmarks

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/**
* End-to-end streaming import benchmark.
*
* Each measured run executes in a fresh process and writes fresh databases.
* Fixture generation and result verification are excluded from the timed range.
*
* Usage:
* pnpm exec tsx scripts/bench-streaming-import.mts single 100000 [runs=3]
* pnpm exec tsx scripts/bench-streaming-import.mts batch 100 10000 [runs=3] [concurrency=1]
*
* Single-file runs also append 1,000 messages incrementally and measure a
* representative LIKE query against the final database.
*/
import { createHash } from 'node:crypto'
import { once } from 'node:events'
import { copyFileSync, createWriteStream, linkSync, mkdirSync, rmSync, statSync, unlinkSync } from 'node:fs'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { spawnSync } from 'node:child_process'
import Database from 'better-sqlite3'
import { CHAT_DB_TABLES } from '@openchatlab/core'
import { getNativeParserStatus, isNativeFormatAvailable, type NativeParserStatus } from '@openchatlab/parser'
import { BetterSqliteAdapter } from '../packages/node-runtime/src/better-sqlite3-adapter'
import { computeAndSetOverviewCache } from '../packages/node-runtime/src/cache/session-cache'
import { runKeyedBatch } from '../packages/node-runtime/src/import/batch-coordinator'
import { incrementalImport, type IncrementalImportDeps } from '../packages/node-runtime/src/import/incremental-importer'
import {
streamingImport,
type ImportLogger,
type ImportStageTimings,
type StreamImportDeps,
} from '../packages/node-runtime/src/import/streaming-importer'
import { createChatLabTempDir } from './chatlab-temp.mjs'
const scriptPath = fileURLToPath(import.meta.url)
const nativeBinding = path.resolve('apps/cli/native/better_sqlite3.node')
const memberCount = 200
const sampleTexts = [
'今天天气不错,我们出去玩吧!',
'哈哈哈哈哈哈这也太好笑了',
'[图片]',
'好的,收到,明天见。',
'This is a mixed language message with some English words 和中文混排。',
'周末有人一起打球吗?地点老地方,时间下午三点,人齐就开打。',
]
interface BenchmarkParser {
formatId: 'weflow'
implementation: 'rust-native'
nativeModuleAvailable: true
}
interface BenchmarkResult {
scenario: 'single' | 'batch'
parser: BenchmarkParser
fileCount: number
concurrency: number
inputMessages: number
inputBytes: number
durationMs: number
incrementalMessages: number
incrementalDurationMs: number
sampledPeakRssMb: number
sampledRssDeltaMb: number
databaseBytes: number
messagesWritten: number
membersWritten: number
outputSignature: string
likeSearch: {
coldMs: number
warmMedianMs: number
resultCount: number
resultSignature: string
}
timings: ImportStageTimings
}
export interface BenchmarkParserMonitor {
logger: ImportLogger
assertRustNativeCompleted(importIndex: number): void
}
export function resolveBenchmarkParser(status: NativeParserStatus, nativeFormatAvailable: boolean): BenchmarkParser {
if (!status.available || !nativeFormatAvailable) {
const reason = status.disabled
? 'CHATLAB_DISABLE_NATIVE_PERF=1 disables the native parser'
: status.error
? `native parser failed to load: ${status.error}`
: 'the native parser does not provide the WeFlow kernel'
throw new Error(
`Streaming import benchmark requires the Rust Native WeFlow parser; ${reason}. ` +
'Run pnpm build:native before collecting a baseline.'
)
}
return {
formatId: 'weflow',
implementation: 'rust-native',
nativeModuleAvailable: true,
}
}
export function createBenchmarkParserMonitor(): BenchmarkParserMonitor {
let nativeStarted = false
let fallbackDetected = false
const ignoreNonParserLog = () => undefined
const inspectMessage = (message: string) => {
if (message.includes('[NativeParser] Parsing WeFlow export with Rust kernel')) {
nativeStarted = true
}
if (message.includes('[NativeParser]') && message.includes('falling back to TS parser')) {
fallbackDetected = true
}
}
return {
logger: {
info: inspectMessage,
error: inspectMessage,
perf: ignoreNonParserLog,
perfDetail: ignoreNonParserLog,
summary: ignoreNonParserLog,
reset() {
nativeStarted = false
fallbackDetected = false
},
init: ignoreNonParserLog,
getCurrentLogFile() {
return null
},
},
assertRustNativeCompleted(importIndex: number) {
if (fallbackDetected) {
throw new Error(`Import ${importIndex} fell back to the TypeScript WeFlow parser; benchmark result rejected`)
}
if (!nativeStarted) {
throw new Error(`Import ${importIndex} did not start the Rust Native WeFlow parser; benchmark result rejected`)
}
},
}
}
const zeroTimings = (): ImportStageTimings => ({
detectionMs: 0,
preprocessingMs: 0,
databaseSetupMs: 0,
parserMs: 0,
metaWriteMs: 0,
memberWriteMs: 0,
messageWriteMs: 0,
nicknameHistoryMs: 0,
indexCreationMs: 0,
checkpointMs: 0,
sessionIndexMs: 0,
postImportHookMs: 0,
totalMs: 0,
})
function addTimings(target: ImportStageTimings, source: ImportStageTimings): void {
for (const key of Object.keys(target) as Array<keyof ImportStageTimings>) target[key] += source[key]
}
async function generateWeflowFixture(filePath: string, count: number, startIndex = 0): Promise<void> {
const stream = createWriteStream(filePath, { encoding: 'utf-8' })
const write = async (chunk: string) => {
if (!stream.write(chunk)) await once(stream, 'drain')
}
await write(
`{"weflow":{"version":"1.0.0","exportedAt":1704164645},` +
`"session":{"wxid":"bench@chatroom","nickname":"性能测试群","displayName":"性能测试群","type":"群聊"},` +
'"avatars":{},"messages":['
)
const batch: string[] = []
for (let index = 0; index < count; index++) {
const absoluteIndex = startIndex + index
const member = absoluteIndex % memberCount
batch.push(
JSON.stringify({
localId: absoluteIndex + 1,
createTime: 1_704_164_645 + absoluteIndex * 3,
formattedTime: '2024-01-02 03:04:05',
type: '文本消息',
localType: 1,
content: `${sampleTexts[absoluteIndex % sampleTexts.length]} #${absoluteIndex}`,
isSend: member === 0 ? 1 : 0,
senderUsername: `wxid_member_${member}`,
senderDisplayName: `成员${member}号`,
senderAvatarKey: `wxid_member_${member}`,
source: '',
})
)
if (batch.length >= 5000) {
await write((index + 1 > batch.length ? ',' : '') + batch.join(','))
batch.length = 0
}
}
if (batch.length > 0) await write((count > batch.length ? ',' : '') + batch.join(','))
await write(']}')
stream.end()
await once(stream, 'finish')
}
function createIncrementalDeps(dbPath: string): IncrementalImportDeps {
return {
openDatabase() {
const raw = new Database(dbPath, { nativeBinding })
raw.pragma('journal_mode = WAL')
raw.pragma('synchronous = NORMAL')
return new BetterSqliteAdapter(raw)
},
onProgress() {
/* benchmark excludes UI transport */
},
}
}
function createImportDeps(dbPath: string, cacheDir: string, logger: ImportLogger): StreamImportDeps {
return {
openDatabase() {
const raw = new Database(dbPath, { nativeBinding })
raw.pragma('journal_mode = WAL')
raw.pragma('synchronous = NORMAL')
raw.exec(CHAT_DB_TABLES)
return new BetterSqliteAdapter(raw)
},
deleteDatabase() {
for (const suffix of ['', '-wal', '-shm']) {
try {
unlinkSync(dbPath + suffix)
} catch {
/* ignore cleanup failures in a disposable benchmark workspace */
}
}
},
onProgress() {
/* benchmark excludes UI transport */
},
logger,
postImportHook(db, sessionId) {
computeAndSetOverviewCache(db, sessionId, cacheDir)
},
}
}
export function inspectDatabase(dbPath: string): {
messages: number
members: number
signature: string
} {
const db = new Database(dbPath, { readonly: true, nativeBinding })
const hash = createHash('sha256')
const hashRows = (label: string, query: string): number => {
hash.update(`table:${label}\n`)
let count = 0
let chunk = ''
for (const row of db.prepare(query).raw().iterate() as Iterable<unknown[]>) {
chunk += `${JSON.stringify(row)}\n`
count++
if (chunk.length >= 1024 * 1024) {
hash.update(chunk)
chunk = ''
}
}
if (chunk) hash.update(chunk)
return count
}
try {
hashRows(
'meta',
`SELECT name, platform, type, group_id, group_avatar, owner_id, schema_version, session_gap_threshold
FROM meta ORDER BY rowid`
)
const members = hashRows(
'member',
`SELECT id, platform_id, account_name, group_nickname, aliases, avatar, roles
FROM member ORDER BY id`
)
hashRows(
'member_name_history',
`SELECT id, member_id, name_type, name, start_ts, end_ts
FROM member_name_history ORDER BY id`
)
const messages = hashRows(
'message',
`SELECT id, sender_id, sender_account_name, sender_group_nickname, ts, type, content,
reply_to_message_id, platform_message_id
FROM message ORDER BY id`
)
hashRows(
'segment',
`SELECT id, start_ts, end_ts, message_count, is_manual, summary
FROM segment ORDER BY id`
)
hashRows(
'message_context',
`SELECT message_id, segment_id, topic_id
FROM message_context ORDER BY message_id`
)
const legacyFts = db.prepare("SELECT name FROM sqlite_master WHERE type = 'table' AND name = 'message_fts'").get()
if (legacyFts) throw new Error('Benchmark database unexpectedly contains message_fts')
return { messages, members, signature: hash.digest('hex') }
} finally {
db.close()
}
}
function measureLikeSearch(dbPath: string): BenchmarkResult['likeSearch'] {
const db = new Database(dbPath, { readonly: true, nativeBinding })
const statement = db.prepare(
`SELECT id, content
FROM message
WHERE content LIKE ? ESCAPE '\\'
ORDER BY ts DESC, id DESC
LIMIT 50`
)
// Match only the oldest synthetic row so ORDER BY cannot stop after finding
// a few recent matches. This measures the existing LIKE path's full-scan cost.
const params = ['%#0']
const run = () => {
const startedAt = performance.now()
const rows = statement.all(...params) as Array<{ id: number; content: string }>
return { durationMs: performance.now() - startedAt, rows }
}
try {
const cold = run()
const warmRuns = Array.from({ length: 5 }, run).sort((left, right) => left.durationMs - right.durationMs)
const warmMedian = warmRuns[Math.floor(warmRuns.length / 2)]
return {
coldMs: cold.durationMs,
warmMedianMs: warmMedian.durationMs,
resultCount: cold.rows.length,
resultSignature: createHash('sha256').update(JSON.stringify(cold.rows)).digest('hex').slice(0, 16),
}
} finally {
db.close()
}
}
async function runWorker(fileCount: number, messagesPerFile: number, concurrency: number): Promise<BenchmarkResult> {
if (typeof global.gc !== 'function') {
throw new Error('Benchmark worker requires Node.js --expose-gc')
}
const parser = resolveBenchmarkParser(getNativeParserStatus(), isNativeFormatAvailable('weflow'))
const root = createChatLabTempDir('bench', 'streaming-import-')
const fixturePath = path.join(root, 'fixture.json')
const incrementalFixturePath = path.join(root, 'incremental.json')
const cacheDir = path.join(root, 'cache')
mkdirSync(cacheDir, { recursive: true })
try {
await generateWeflowFixture(fixturePath, messagesPerFile)
const incrementalMessages = fileCount === 1 ? 1000 : 0
if (incrementalMessages > 0) {
await generateWeflowFixture(incrementalFixturePath, incrementalMessages, messagesPerFile)
}
const inputPaths = [fixturePath]
for (let index = 1; index < fileCount; index++) {
const linkedPath = path.join(root, `fixture-${index}.json`)
try {
linkSync(fixturePath, linkedPath)
} catch {
copyFileSync(fixturePath, linkedPath)
}
inputPaths.push(linkedPath)
}
global.gc()
const rssStartMb = process.memoryUsage().rss / 1024 / 1024
const timings = zeroTimings()
let sampledPeakRssMb = rssStartMb
const dbPaths: string[] = []
const startedAt = performance.now()
await runKeyedBatch(
inputPaths.map((inputPath, index) => ({
value: { inputPath, index },
key: `session:${index}`,
})),
{
concurrency,
async run({ inputPath, index }) {
const dbPath = path.join(root, `session-${index}.db`)
dbPaths[index] = dbPath
const parserMonitor = createBenchmarkParserMonitor()
const result = await streamingImport(
inputPath,
createImportDeps(dbPath, cacheDir, parserMonitor.logger),
{ formatId: 'weflow' },
`bench-${index}`
)
if (!result.success || !result.diagnostics?.performance) {
throw new Error(`Import ${index} failed: ${result.error ?? 'missing performance diagnostics'}`)
}
parserMonitor.assertRustNativeCompleted(index)
addTimings(timings, result.diagnostics.performance.timings)
sampledPeakRssMb = Math.max(sampledPeakRssMb, result.diagnostics.performance.rssSampledPeakMb)
},
}
)
const durationMs = performance.now() - startedAt
let incrementalDurationMs = 0
if (incrementalMessages > 0) {
const incrementalStartedAt = performance.now()
const result = await incrementalImport('bench-0', incrementalFixturePath, createIncrementalDeps(dbPaths[0]), {
formatId: 'weflow',
})
incrementalDurationMs = performance.now() - incrementalStartedAt
if (!result.success || result.newMessageCount !== incrementalMessages) {
throw new Error(
`Incremental import failed: expected ${incrementalMessages}, got ${result.newMessageCount} (${result.error ?? 'unknown error'})`
)
}
}
let messagesWritten = 0
let membersWritten = 0
let databaseBytes = 0
const signatures: string[] = []
let likeSearch: BenchmarkResult['likeSearch'] | undefined
for (const dbPath of dbPaths) {
const inspected = inspectDatabase(dbPath)
messagesWritten += inspected.messages
membersWritten += inspected.members
signatures.push(inspected.signature)
databaseBytes += statSync(dbPath).size
likeSearch ??= measureLikeSearch(dbPath)
}
return {
scenario: fileCount === 1 ? 'single' : 'batch',
parser,
fileCount,
concurrency,
inputMessages: fileCount * messagesPerFile,
inputBytes: statSync(fixturePath).size * fileCount,
durationMs,
incrementalMessages,
incrementalDurationMs,
sampledPeakRssMb,
sampledRssDeltaMb: Math.max(0, sampledPeakRssMb - rssStartMb),
databaseBytes,
messagesWritten,
membersWritten,
outputSignature: createHash('sha256').update(signatures.sort().join(':')).digest('hex'),
likeSearch: likeSearch!,
timings,
}
} finally {
rmSync(root, { recursive: true, force: true })
}
}
function runIsolated(fileCount: number, messagesPerFile: number, concurrency: number): BenchmarkResult {
const child = spawnSync(
process.execPath,
[
'--expose-gc',
...process.execArgv,
scriptPath,
'--worker',
String(fileCount),
String(messagesPerFile),
String(concurrency),
],
{
cwd: process.cwd(),
encoding: 'utf-8',
maxBuffer: 10 * 1024 * 1024,
env: { ...process.env },
}
)
if (child.status !== 0) {
throw new Error(`Benchmark worker failed (${child.status}):\n${child.stdout}\n${child.stderr}`)
}
const resultLine = child.stdout.split('\n').find((line) => line.startsWith('BENCH_RESULT '))
if (!resultLine) throw new Error(`Benchmark worker returned no result:\n${child.stdout}\n${child.stderr}`)
return JSON.parse(resultLine.slice('BENCH_RESULT '.length)) as BenchmarkResult
}
function formatBytes(bytes: number): string {
return `${(bytes / 1024 / 1024).toFixed(1)} MB`
}
function printResult(result: BenchmarkResult, label: string): void {
console.log(
`${label}: parser ${result.parser.implementation} | ${result.durationMs.toFixed(0)} ms | ` +
`incremental ${result.incrementalDurationMs.toFixed(0)} ms/${result.incrementalMessages} rows | ` +
`sampled peak RSS ${result.sampledPeakRssMb.toFixed(0)} MB ` +
`(+${result.sampledRssDeltaMb.toFixed(0)} MB) | DB ${formatBytes(result.databaseBytes)} | ` +
`LIKE ${result.likeSearch.coldMs.toFixed(1)} ms cold/${result.likeSearch.warmMedianMs.toFixed(1)} ms warm | ` +
`signature ${result.outputSignature}`
)
}
async function main(): Promise<void> {
const [mode, first, second, third, fourth] = process.argv.slice(2)
if (mode === '--worker') {
const result = await runWorker(Number(first), Number(second), Number(third))
console.log(`BENCH_RESULT ${JSON.stringify(result)}`)
return
}
let fileCount: number
let messagesPerFile: number
let runs: number
let concurrency: number
if (mode === 'single') {
fileCount = 1
messagesPerFile = Number(first ?? 100_000)
runs = Number(second ?? 3)
concurrency = 1
} else if (mode === 'batch') {
fileCount = Number(first ?? 100)
messagesPerFile = Number(second ?? 10_000)
runs = Number(third ?? 3)
concurrency = Number(fourth ?? 1)
} else {
throw new Error('Usage: single <messages> [runs=3] | batch <files> <messages-per-file> [runs=3] [concurrency=1]')
}
if (![fileCount, messagesPerFile, runs, concurrency].every((value) => Number.isInteger(value) && value > 0)) {
throw new Error('All benchmark counts must be positive integers')
}
console.log(
`Benchmarking ${fileCount} file(s), ${messagesPerFile.toLocaleString()} messages/file, concurrency ${concurrency}, ${runs} isolated run(s)`
)
const results: BenchmarkResult[] = []
for (let index = 0; index < runs; index++) {
const result = runIsolated(fileCount, messagesPerFile, concurrency)
results.push(result)
printResult(result, `run ${index + 1}`)
}
const sorted = [...results].sort((left, right) => left.durationMs - right.durationMs)
const median = sorted[Math.floor(sorted.length / 2)]
const parserSignatures = new Set(results.map((result) => JSON.stringify(result.parser)))
if (parserSignatures.size !== 1) {
throw new Error('Parser implementations differ between isolated runs')
}
if (results.some((result) => result.outputSignature !== median.outputSignature)) {
throw new Error('Output signatures differ between isolated runs')
}
if (
results.some(
(result) =>
result.likeSearch.resultCount !== 1 || result.likeSearch.resultSignature !== median.likeSearch.resultSignature
)
) {
throw new Error('LIKE search results differ between isolated runs or do not match the expected fixture row')
}
const expectedMessages = fileCount * messagesPerFile + median.incrementalMessages
if (median.messagesWritten !== expectedMessages) {
throw new Error(`Expected ${expectedMessages} messages, got ${median.messagesWritten}`)
}
printResult(median, 'median')
const stageRows = Object.entries(median.timings)
.filter(([stage]) => stage !== 'totalMs')
.sort(([, left], [, right]) => right - left)
console.log('Median phase totals:')
for (const [stage, durationMs] of stageRows) {
console.log(` ${stage.padEnd(22)} ${durationMs.toFixed(1).padStart(10)} ms`)
}
}
if (path.resolve(process.argv[1] ?? '') === scriptPath) {
void main().catch((error: unknown) => {
console.error(error)
process.exitCode = 1
})
}