Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Front-end performance - Making lunr.js fast
Search
Oliver Nightingale
May 02, 2013
Technology
1.4k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Front-end performance - Making lunr.js fast
Three stories about making lunr.js searching fast
Oliver Nightingale
May 02, 2013
More Decks by Oliver Nightingale
See All by Oliver Nightingale
d3_meetup_20120130.pdf
olivernn
1
65
D3 Geo Visualisations
olivernn
3
2k
Other Decks in Technology
See All in Technology
形式手法特論:Hyperproperty とモデル検査 #kernelvm / Kernel VM Study Tokyo 19th
ytaka23
0
820
フィジカルAIの知識ゼロの僕でも AIを使えばここまでできた
tatsuya1970
0
190
カーネルまで探検して理解するふたつの自動計装
sumiyae
0
320
AIエージェントのためのデータ設計
daiz21
0
380
平文パスワードはログに“残り” ── 肝心の侵入は“痕跡すら残らない”
kuroneko13
0
130
Windows の互換機能 - 古いプログラムはなぜ動作できるのか
murachiakira
PRO
0
110
アクセスキーが漏れた日にやるべきこと- 無効化の先にある本当の対応
kazzpapa3
0
330
AI時代の「OAuth認証」にどう物申すか?(OAuth/OIDC Numa (Immersion) Workshop 2026)
oidfj
PRO
0
300
NANDでも描画したい!
nichica906
3
750
AI・HPC開発を支えるGPU環境の新しい選択肢 液冷GPUシステム「AquSys」の取り組み
gpuunite_official
0
250
ClaudeCodeでセキュリティ監視業務を半自動化_1年の運用でわかったAIに任せる設計の5つのポイント
kintotechdev
3
530
「ミスを許さない手順書」を作ってみた 〜 個人的にはこれ以上できることはあまりなさそう/20260827-ssmjp-operation-procedure-update
opelab
6
3.6k
Featured
See All Featured
The agentic SEO stack - context over prompts
schlessera
0
880
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
Tell your own story through comics
letsgokoyo
1
1k
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
67
57k
Building Adaptive Systems
keathley
44
3.2k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Building Applications with DynamoDB
mza
96
7.2k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
250
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.4k
jQuery: Nuts, Bolts and Bling
dougneiner
66
8.6k
Transcript
FRONT-END PERFORMANCE MAKING LUNR.JS FAST Thursday, 2 May 13
100% CPU BOUND Thursday, 2 May 13
PROFILE TOOL Thursday, 2 May 13
BENCHMARK ๏ CONSOLE.TIME(‘ZOMG SLOW’) ๏ JSPERF.COM ๏ BENCHMARK.JS BEFORE &
AFTER Thursday, 2 May 13
DO LESS GO QUICKER Thursday, 2 May 13
lunr.Vector = function (elements) { this.elements = elements for (var
i = 0; i < elements.length; i++) { if ( !(i in this.elements) ) this.elements[i] = 0 } } BEFORE Thursday, 2 May 13
lunr.Vector = function (elements) { this.elements = elements } AFTER
Thursday, 2 May 13
var zeros = [0] var zeroFillArray = function (length) {
while (zeros.length < length) { zeros = zeros.concat(zeros) } return zeros.slice(0, length) } ELSEWHERE Thursday, 2 May 13
RESULTS 10 100 1000 10000 100000 1000000 NON ZERO FILLED
ARRAY ZERO FILLED ARRAY 774,676 ops/s 3,234 ops/s http://jsperf.com/lunr-vector-init Thursday, 2 May 13
LESS RECURSION FUNCTION OVER-HEAD Thursday, 2 May 13
EVIDENCE Thursday, 2 May 13
lunr.TokenStore.prototype.getNode = function (token, root) { var root = root
|| this.root, key = token[0], rest = token.slice(1) if (!(key in root)) return {} if (rest.length === 0) { return root[key] } else { return this.getNode(rest, root[key]) } } BEFORE Thursday, 2 May 13
lunr.TokenStore.prototype.getNode = function (token) { if (!token) return {} var
node = this.root for (var i = 0; i < token.length; i++) { if (!(token[i] in node)) return {} node = node[token[i]] } return node } AFTER Thursday, 2 May 13
RESULTS 40000 80000 120000 160000 RECURSIVE ITERATIVE 152,008 ops/s 103,070
ops/s http://jsperf.com/lunr-tokenstore-getnode/2 Thursday, 2 May 13
BIG OHHH CHOOSING THE RIGHT ALGORITHM Thursday, 2 May 13
lunr.SortedSet = function () { this.length = 0 this.elements =
[] } SIMPLE DATA STRUCTURE Thursday, 2 May 13
OPERATIONS ๏ ADD(ELEM) ๏ INDEX_OF(ELEM) SORTED SET Thursday, 2 May
13
lunr.SortedSet.prototype.add = function (elem) { if (~this.elements.indexOf(elem)) return this.elements.push(elem) this.length++
this.elements.sort() } BEFORE Thursday, 2 May 13
SORT O(n log n) Thursday, 2 May 13
INDEX_OF O(n) Thursday, 2 May 13
lunr.SortedSet.prototype.add = function (elem) { if (~this.indexOf(elem)) return this.elements.splice(this.locationFor(elem), 0,
elem) this.length = this.elements.length } AFTER Thursday, 2 May 13
BINARY SEARCH O(log n) Thursday, 2 May 13
lunr.SortedSet.prototype.indexOf = function (elem, start, end) { var start =
start || 0, end = end || this.elements.length, sectionLength = end - start, pivot = start + Math.floor(sectionLength / 2), pivotElem = this.elements[pivot] if (sectionLength <= 1) { if (pivotElem === elem) { return pivot } else { return -1 } } if (pivotElem < elem) return this.indexOf(elem, pivot, end) if (pivotElem > elem) return this.indexOf(elem, start, pivot) if (pivotElem === elem) return pivot } ELSEWHERE Thursday, 2 May 13
lunr.SortedSet.prototype.locationFor = function (elem, start, end) { var start =
start || 0, end = end || this.elements.length, sectionLength = end - start, pivot = start + Math.floor(sectionLength / 2), pivotElem = this.elements[pivot] if (sectionLength <= 1) { if (pivotElem > elem) return pivot if (pivotElem < elem) return pivot + 1 } if (pivotElem < elem) return this.locationFor(elem, pivot, end) if (pivotElem > elem) return this.locationFor(elem, start, pivot) } MORE ELSEWHERE Thursday, 2 May 13
RESULTS 100 10000 1000000 LOW VALUE HIGH VALUE NON EXISTANT
INDEX_OF BINARY_SEARCH INDEX_OF BINARY_SEARCH INDEX_OF BINARY_SEARCH 4,818,044 ops/s 5,521,920 ops/s 4,768,333 ops/s 14,445 ops/s 23,150 ops/s 1,697,089 ops/s http://jsperf.com/lunr-sortedset-indexof Thursday, 2 May 13
END USER PERF THIS IS WHAT REALLY MATTERS Thursday, 2
May 13
RESULTS 75 150 225 300 0.2.0 0.4.0 38.477 ms 240.865
ms lunr.Index.prototype.search Thursday, 2 May 13