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
Reactのパフォーマンス改善例
Search
rakus frontend
May 22, 2024
Technology
0
490
Reactのパフォーマンス改善例
rakus frontend
May 22, 2024
Tweet
Share
More Decks by rakus frontend
See All by rakus frontend
新卒FEが1年目に取り組んだこと・学んだこと
rakus_fe
0
47
ErrorBoundaryとSuspenseの導入検討
rakus_fe
1
720
日付をもう少し真面目に勉強中
rakus_fe
0
42
React19 β をざっと見る
rakus_fe
0
310
Typescript5.4の新機能
rakus_fe
0
280
非破壊的な配列メソッド
rakus_fe
0
340
ココがすごいぜ!Playwright Component Test
rakus_fe
0
500
スプレッドシートのセル結合がつらいので足掻いてみた話
rakus_fe
0
230
Other Decks in Technology
See All in Technology
大規模イベントを支える ABEMA の アーキテクチャ 変遷 2025
nagapad
5
530
P2P ではじめる WebRTC のつまづきどころ
tnoho
1
270
[MIRU25] NaiLIA: Multimodal Retrieval of Nail Designs Based on Dense Intent Descriptions
keio_smilab
PRO
1
130
クマ×共生 HACKATHON - 熊対策を『特別な行動」から「生活の一部」に -
pharaohkj
0
200
AI工学特論: MLOps・継続的評価
asei
10
2k
Wasmで社内ツールを作って配布しよう
askua
0
150
Kiroから考える AIコーディングツールの潮流
s4yuba
1
420
増え続ける脆弱性に立ち向かう: 事前対策と優先度づけによる 持続可能な脆弱性管理 / Confronting the Rise of Vulnerabilities: Sustainable Management Through Proactive Measures and Prioritization
nttcom
1
220
[MIRU2025]Preference Optimization for Multimodal Large Language Models for Image Captioning Tasks
keio_smilab
PRO
0
120
経理出身PdMがAIプロダクト開発を_ハンズオンで学んだ話.pdf
shunsukenarita
1
240
大規模組織にAIエージェントを迅速に導入するためのセキュリティの勘所 / AI agents for large-scale organizations
i35_267
6
330
Expertise as a Service via MCP
yodakeisuke
1
160
Featured
See All Featured
Optimizing for Happiness
mojombo
379
70k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
How to Ace a Technical Interview
jacobian
278
23k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
30
2.2k
Site-Speed That Sticks
csswizardry
10
730
GitHub's CSS Performance
jonrohan
1031
460k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
Designing for Performance
lara
610
69k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
110
19k
Keith and Marios Guide to Fast Websites
keithpitt
411
22k
Transcript
ReactͷύϑΥʔϚϯεվળྫ
ࠓͷ͓ https://web.dev/articles/rail?hl=ja
RAILϞσϧͱ RAILGoogleࣾͷ։ൃऀͰ͋Δ Ilya Grigorik ࢯ͕ఏ এͨ͠ύϑΥʔϚϯεϞσϧͰ͢ɻ ग़యɿWebϑϩϯτΤϯυϋΠύϑΥʔϚϯενϡʔχϯά RAILɺResponse, Animation, Idle,
Loadͷ֤୯ޠͷ ಄จࣈΛऔ໊͚ͬͯΒΕ·ͨ͠ɻ RAILɺϢʔβʔΛத৺ͱͨ͠ύϑΥʔϚϯεϞσϧ Λඪᒗ͠·͢ɻ
ࠓͷ͓ https://web.dev/articles/rail?hl=ja 👉
Responseͱ ResponseɺϢʔβʔ͕ԿΒ͔ͷΞΫγϣϯʹର͠ ͯΣϒϖʔδ͕ϢʔβʔΠϯλʔϑΣΠε্ͷมԽ ΛҾ͖ىͯ͜͠ɺԠ͢Δ·Ͱͷ࣌ؒΛࢦ͠·͢ɻ
Responseͱ
Responseͱ 👉 Googleఏএඪ
Responseͱ 👉 ݱ࣮తͳඪ
ϥΫεϓϩμΫτʹ͓͚Δ 500ߦͷςʔϒϧ
ϥΫεϓϩμΫτʹ͓͚Δ (ms) 1ճ 2ճ 3ճ 4ճ 5ճ 6ճ 7ճ 8ճ
9ճ 10ճ res 2306 2698 2523 3122 2546 2472 2382 2872 2619 2465 2659ms 75ύʔηϯλΠϧ
ϘτϧωοΫௐࠪ React Developer Tools
ෆཁͳϨϯμϦϯάͷݮ ίϯϙʔωϯτ͕࠶ϨϯμϦϯά͞Εͨཧ༝Λ ϩάग़ྗͯ͘͠ΕΔϥΠϒϥϦ https://github.com/welldone-software/why-did-you-render
ෆཁͳϨϯμϦϯάͷݮ install vite.config.ts main.tsx
ෆཁͳϨϯμϦϯάͷݮ
ෆཁͳϨϯμϦϯάͷݮ ؔςʔϒϧηϧίϯϙʔωϯτͷϝϞԽΛߦ͏
ෆཁͳϨϯμϦϯάͷݮ ͪΐͬͱͨ͠ίʔυͷॻ͖ํͷҧ͍Ͱ ϝϞԽ͕ޮ͔ͳ͘ͳΔͨΊҙ͢Δ 👎 👍
ෆཁͳϨϯμϦϯάͷݮ ͪΐͬͱͨ͠ίʔυͷॻ͖ํͷҧ͍Ͱ ϝϞԽ͕ޮ͔ͳ͘ͳΔͨΊҙ͢Δ
ෆཁͳϨϯμϦϯάͷݮ
ෆཁͳϨϯμϦϯάͷݮ վળલ վળޙ
ύϑΥʔϚϯεൺֱ (ms) 1ճ 2ճ 3ճ 4ճ 5ճ 6ճ 7ճ 8ճ
9ճ 10ճ վળલ 2306 2698 2523 3122 2546 2472 2382 2872 2619 2465 վળޙ 465 481 503 562 561 479 545 483 498 491 2659ms 524ms 🎉
վળલ վળޙ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠