fix: correct typo in README major updates section
🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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scripts/analyze-metadata-performance.js
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187
scripts/analyze-metadata-performance.js
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#!/usr/bin/env node
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/**
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* Metadata Performance Analysis Script
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* Quick performance analysis of metadata filtering system without full test suite
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*/
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import { BrainyData } from '../dist/brainyData.js'
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const measureTime = async (fn) => {
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const start = performance.now()
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const result = await fn()
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const end = performance.now()
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return { result, time: end - start }
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}
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const generateTestData = (count) => {
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const departments = ['Engineering', 'Marketing', 'Sales', 'HR']
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const levels = ['junior', 'senior', 'staff', 'principal']
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const locations = ['SF', 'NYC', 'LA', 'Seattle']
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return Array.from({ length: count }, (_, i) => ({
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text: `Profile ${i}: Professional with experience in software development`,
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metadata: {
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id: `profile-${i}`,
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department: departments[i % departments.length],
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level: levels[i % levels.length],
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location: locations[i % locations.length],
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salary: 50000 + (i % 10) * 10000,
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remote: i % 3 === 0,
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active: i % 5 !== 0
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}
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}))
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}
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async function analyzePerformance() {
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console.log('=== Metadata Performance Analysis ===\n')
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// Test 1: Initialization with vs without metadata indexing
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console.log('1. INITIALIZATION COMPARISON')
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const testData = generateTestData(100)
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// Without indexing
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const withoutIndex = await measureTime(async () => {
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const brainy = new BrainyData({
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storage: { forceMemoryStorage: true },
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logging: { verbose: false }
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})
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await brainy.init()
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for (const item of testData) {
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await brainy.add(item.text, item.metadata)
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}
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return brainy
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})
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console.log(`WITHOUT indexing: ${withoutIndex.time.toFixed(2)}ms for 100 items`)
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// With indexing
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const withIndex = await measureTime(async () => {
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const brainy = new BrainyData({
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storage: { forceMemoryStorage: true },
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logging: { verbose: false },
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metadataIndex: { autoOptimize: true }
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})
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await brainy.init()
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for (const item of testData) {
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await brainy.add(item.text, item.metadata)
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}
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return brainy
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})
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console.log(`WITH indexing: ${withIndex.time.toFixed(2)}ms for 100 items`)
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const overhead = ((withIndex.time - withoutIndex.time) / withoutIndex.time) * 100
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console.log(`Index overhead: ${overhead.toFixed(1)}%\n`)
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// Test 2: Search Performance Comparison
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console.log('2. SEARCH PERFORMANCE COMPARISON')
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const brainy = withIndex.result
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const searchQuery = 'Professional software development'
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const numSearches = 5
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// No filtering
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let totalNoFilter = 0
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for (let i = 0; i < numSearches; i++) {
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const { time } = await measureTime(async () => {
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return await brainy.search(searchQuery, 10)
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})
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totalNoFilter += time
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}
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const avgNoFilter = totalNoFilter / numSearches
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console.log(`No filtering: ${avgNoFilter.toFixed(2)}ms average`)
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// Simple filtering
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let totalSimpleFilter = 0
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for (let i = 0; i < numSearches; i++) {
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const { time } = await measureTime(async () => {
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return await brainy.search(searchQuery, 10, {
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metadata: { department: 'Engineering' }
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})
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})
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totalSimpleFilter += time
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}
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const avgSimpleFilter = totalSimpleFilter / numSearches
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console.log(`Simple filter: ${avgSimpleFilter.toFixed(2)}ms average`)
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// Complex filtering
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let totalComplexFilter = 0
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for (let i = 0; i < numSearches; i++) {
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const { time } = await measureTime(async () => {
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return await brainy.search(searchQuery, 10, {
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metadata: {
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department: { $in: ['Engineering', 'Marketing'] },
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level: { $in: ['senior', 'staff'] },
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salary: { $gte: 80000 }
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}
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})
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})
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totalComplexFilter += time
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}
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const avgComplexFilter = totalComplexFilter / numSearches
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console.log(`Complex filter: ${avgComplexFilter.toFixed(2)}ms average`)
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console.log('\nSearch Performance Impact:')
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console.log(`Simple filter overhead: ${((avgSimpleFilter / avgNoFilter - 1) * 100).toFixed(1)}%`)
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console.log(`Complex filter overhead: ${((avgComplexFilter / avgNoFilter - 1) * 100).toFixed(1)}%\n`)
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// Test 3: Index Statistics
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console.log('3. INDEX STATISTICS')
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if (brainy.metadataIndex) {
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const stats = await brainy.metadataIndex.getStats()
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console.log(`Total index entries: ${stats.totalEntries}`)
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console.log(`Total indexed IDs: ${stats.totalIds}`)
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console.log(`Fields indexed: ${stats.fieldsIndexed.join(', ')}`)
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console.log(`Estimated index size: ${stats.indexSize} bytes`)
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console.log(`Storage overhead per item: ${(stats.indexSize / 100).toFixed(2)} bytes\n`)
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}
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// Test 4: Write Performance
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console.log('4. WRITE PERFORMANCE ANALYSIS')
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const newTestData = generateTestData(50)
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// Add performance
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const { time: addTime } = await measureTime(async () => {
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for (const item of newTestData) {
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await brainy.add(item.text, item.metadata)
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}
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})
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console.log(`ADD: 50 items in ${addTime.toFixed(2)}ms (${(addTime / 50).toFixed(2)}ms per item)`)
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// Update performance
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const updateData = newTestData.slice(0, 20).map(item => ({
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...item,
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metadata: { ...item.metadata, level: 'updated', salary: item.metadata.salary + 10000 }
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}))
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const { time: updateTime } = await measureTime(async () => {
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for (const item of updateData) {
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await brainy.updateMetadata(item.metadata.id, item.metadata)
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}
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})
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console.log(`UPDATE: 20 items in ${updateTime.toFixed(2)}ms (${(updateTime / 20).toFixed(2)}ms per item)`)
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// Delete performance
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const idsToDelete = newTestData.slice(30, 40).map(item => item.metadata.id)
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const { time: deleteTime } = await measureTime(async () => {
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for (const id of idsToDelete) {
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await brainy.delete(id)
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}
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})
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console.log(`DELETE: 10 items in ${deleteTime.toFixed(2)}ms (${(deleteTime / 10).toFixed(2)}ms per item)\n`)
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// Cleanup
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await withoutIndex.result.shutDown()
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await withIndex.result.shutDown()
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console.log('Analysis complete!')
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}
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analyzePerformance().catch(console.error)
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