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における再レンダリングパフォーマンスチューニングの考え方と実践
Search
soso
February 16, 2022
Programming
430
2
Share
Reactにおける再レンダリングパフォーマンスチューニングの考え方と実践
soso
February 16, 2022
More Decks by soso
See All by soso
Devinアップデート最前線2025.07 Devin v2.xの活用術
soso_15315
1
320
TiDB Serverless ~理想のServerless DBを考える~
soso_15315
1
690
AWS CDKを4〜5年使ってたどり着いた最新構成
soso_15315
1
2.6k
Next.jsで作ったブログ内に リンクカードを実装したときの知見
soso_15315
3
990
React Hooks公開から1年で得られた知見
soso_15315
1
530
Other Decks in Programming
See All in Programming
AgentCore Optimizationを始めよう!
licux
3
260
20260514 - build with ai 2026 - build LINE Bot with Gemini CLI
line_developers_tw
PRO
0
450
Kubernetesを使わない環境にもCloud Nativeなデプロイを実現する / Enabling Cloud Native deployments without the complexity of Kubernetes
linyows
3
420
PHPでローカル環境用のSSL/TLS証明書を発行することはできるのか? #phpconkagawa
akase244
0
370
AlarmKitで明後日起きれるアラームアプリを作る
trickart
0
140
(Re)make Regexp in Ruby: Democratizing internals for the JIT
makenowjust
3
1.1k
Agentic UI beyond Chats Architecture Patterns & Open Standards @ngMunich 05/2026
manfredsteyer
PRO
0
110
Sans tests, vos agents ne sont pas fiables
nabondance
0
140
AI Agent と正しく分析するための環境作り
yoshyum
2
540
1人1案件のプロダクトエンジニア時代に、"プロセス監督"としてチャレンジしたこと
non0113
0
120
ついに来た!本格的なマルチクラウド時代の Google Cloud
maroon1st
0
460
AIを導入する前にやるべきこと
negima
2
370
Featured
See All Featured
More Than Pixels: Becoming A User Experience Designer
marktimemedia
3
410
A Tale of Four Properties
chriscoyier
163
24k
How to Think Like a Performance Engineer
csswizardry
28
2.6k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.3k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
400
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.2k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.2k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
380
HDC tutorial
michielstock
2
660
Making the Leap to Tech Lead
cromwellryan
135
9.8k
The Curious Case for Waylosing
cassininazir
1
350
Transcript
Reactʹ͓͚Δ࠶ϨϯμϦϯά ύϑΥʔϚϯενϡʔχϯάͷߟ͑ํͱ࣮ફ ˏsoso_15315
ࣗݾհ • χοΫωʔϜ: soso • גࣜձࣾGemcook ϦʔυϑϩϯτΤϯδχΞ • React/Next.js/React Native/GraphQL
• झຯғޟʢ8ஈ͙Β͍ʣ • Twitter: @soso_15315
࣍ • ࠶ϨϯμϦϯά࣌ͷύϑΥʔϚϯενϡʔχϯά͍ͭඞཁͳͷ͔ • Chrome Developer Tools Ͱܭଌ • ύϑΥʔϚϯε࠷దԽ࣮ફ
• ·ͱΊ
͜ͷεϥΠυͰѻΘͳ͍͜ͱ • memo/useMemo/useCallbackͳͲͷઆ໌ • ͬͨ͜ͱແ͍Αͱ͍͏ํʮύϑΥʔϚϯενϡʔχϯά͕Ͱ͖Δ ReactͷAPIʯ͙Β͍ͷೝࣝͰਐΊ͍ͯͩ͘͞ • Context/StateͷҠಈͳͲʹΑΔύϑΥʔϚϯενϡʔχϯά • έʔεόΠέʔεʹͳΓ͕ͪͳͷͰࠓճऔΓѻ͍·ͤΜ
࣍ • ࠶ϨϯμϦϯά࣌ͷύϑΥʔϚϯενϡʔχϯά͍ͭඞཁͳͷ͔ • Chrome Developer Tools Ͱܭଌ • ύϑΥʔϚϯε࠷దԽ࣮ફ
• ·ͱΊ
ύϑΥʔϚϯενϡʔχϯά͍ͭඞཁͳͷ͔ʁ → WebΞϓϦ։ൃʹ͓͍ͯɺ࠶ϨϯμϦϯά࠷దԽʹΑΔύϑΥʔϚ ϯενϡʔχϯά͕ඞཁʹͳΔػձগͳ͍ • Reactࣗମ͕ߴ • εϚϗ/PCͷεϖοΫ͕ेߴ͍ • ཱ͍ͪ͢ॳظදࣔͷվળ͕༏ઌ͞Ε͕ͪ
ύϑΥʔϚϯενϡʔχϯά͕ඞཁʹͳΓ͍͢Օॴ • ແݶεΫϩʔϧ/ԾεΫϩʔϧ • ίϯϙʔωϯτ͕େྔ͔ͭසൟʹߋ৽͞ΕΔ • ϦετͷΞΠςϜ͕ॏ͍ίϯϙʔωϯτʹͳΓ͕ͪ • ॏ͍ΞχϝʔγϣϯͳͲඳըʹෛ୲Λֻ͚Δॲཧ͕͋Δ߹ •
React NativeͰ։ൃ͢Δ߹ • ԾεΫϩʔϧ͕ඞཁʹͳΔ͜ͱ͕ଟ͍ • ϦονͳUIΛٻ͢ΔͱύϑΥʔϚϯε͕Լ͕Δ
࣍ • ࠶ϨϯμϦϯά࣌ͷύϑΥʔϚϯενϡʔχϯά͍ͭඞཁͳͷ͔ • Chrome Developer Tools Ͱܭଌ • ύϑΥʔϚϯε࠷దԽ࣮ફ
• ·ͱΊ
https://chrome.google.com/webstore/detail/react-developer-tools/ fmkadmapgofadopljbjfkapdkoienihi?hl=ja
ϨϯμϦϯά͞ΕͨίϯϙʔωϯτΛ ϋΠϥΠτͰදࣔ ίϯϙʔωϯτ͕ϨϯμϦϯά͞Εͨ ཧ༝Λදࣔ
ܭଌͷखॱ 1. ࣮ࡍʹ৮ͬͯॏ͔ͬͨॴ͔Βେ·͔ͳ͋ͨΓΛ͚ͭΔ 2. Pro fi lerͷϋΠϥΠτػೳͰ࠶ϨϯμϦϯά͕සൟʹൃੜ͍ͯ͠Δ͜ͱΛ֬ೝ 3. Pro fi
lerͷܭଌΛ։࢝ɺΞϓϦΛಈ͔ͯ͠ঢ়ଶΛߋ৽͢Δ 4. ࠶ϨϯμϦϯά͞ΕΔͱPro fi lerʹϨϯμϦϯά͞Εͨίϯϙʔωϯτͱ࣌ؒ ͕දࣔ͞ΕΔ
None
࣍ • ࠶ϨϯμϦϯά࣌ͷύϑΥʔϚϯενϡʔχϯά͍ͭඞཁͳͷ͔ • Chrome Developer Tools Ͱܭଌ • ύϑΥʔϚϯε࠷దԽ࣮ફ
• ·ͱΊ
࠶ϨϯμϦϯάΛ੍͢Δڥք ΛܾΊΔ Listίϯϙʔωϯτͷߋ৽ʹ͍ListҎԼͷίϯ ϙʔωϯτ͕શͯߋ৽͞Ε͍ͯΔ → ListItemΛ memo ͰϝϞԽ͢Δ
࠶ܭଌ ݁Ռͱͯ͠มΘΒͣListҎԼͷίϯϙʔωϯτ͕શ ͯ࠶ϨϯμϦϯά͞Ε͍ͯΔ Pro fi lerͰݪҼΛ֬ೝͯ͠ΈΔͱ onClick ͷ Props ͕
มԽͨ͜͠ͱʹΑΓϨϯμϦϯά͞Εͨ͜ͱ͕Θ͔ Δ → onClick ʹ͍ͯ͠ΔؔΛ useCallback ͰϝϞ Խ͢Δ
࠶ܭଌ ΄΅શͯͷίϯϙʔωϯτͷ࠶ϨϯμϦϯάΛ੍ Ͱ͖ΔΑ͏ʹͳͬͨ Reader Duration 23.2ms → 3.6ms ʹ ʢ࣮ࡍͷܭଌͰฏۉΛऔͬͨ΄͏͕ྑ͍ʣ
࣍ • ࠶ϨϯμϦϯά࣌ͷύϑΥʔϚϯεରࡦ͍ͭඞཁͳͷ͔ • Chrome Developer Tools Ͱܭଌ • ύϑΥʔϚϯε࠷దԽ࣮ફ
• ·ͱΊ
·ͱΊ • Pro fi ler Λۦ͢Δͱ࠶ϨϯμϦϯάͷ֬ೝɾ੍͕͍͢͠ • ࠶ϨϯμϦϯάͷύϑΥʔϚϯενϡʔχϯά͕ඞཁʹͳΔػձ͕͋ Εɺࠓճͷܭଌ →
ରࡦͷखॱΛࢼͯ͠Έ͍ͯͩ͘͞
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠