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
Ruby 2.4 のハッシュテーブル高速化を理解する
Search
Nao Minami
April 20, 2017
Programming
3
6.8k
Ruby 2.4 のハッシュテーブル高速化を理解する
第2回 meguro.rb LT で Ruby 2.4 のハッシュテーブル実装について話しました
https://megurorb.connpass.com/event/55107/
Nao Minami
April 20, 2017
Tweet
Share
More Decks by Nao Minami
See All by Nao Minami
Real World Migration from HTTP to gRPC #CNDT2020
south37
3
5.9k
Real World Migration from HTTP to gRPC in Ruby #grpcconf
south37
2
4.5k
Getting Things Done をベースにした仕事の進め方 / How to Work with Getting Things Done
south37
8
8.1k
Web API に秩序を与える Protocol Buffers / Protocol Buffers for Web API #builderscon
south37
18
16k
puma v4 では SIGTERM での worker process ゾンビ化に気をつけよう / Be aware of zombie processes in puma v4
south37
1
4k
理想的なマイクロサービスアーキテクチャを目指す継続的改善 / Re-architecturing of Microservices #CNDT2019
south37
10
15k
gcpc: Google Cloud Pub/Sub Client for Ruby #tqrk13
south37
1
820
実行計画から学ぶ PostgreSQL の内部動作とクエリ最適化 / Learn PostgreSQL from Explain
south37
8
41k
学びを得るための新卒 ISUCON / New Grad ISUCON for Learning
south37
4
43k
Other Decks in Programming
See All in Programming
PHP 8.4の新機能「プロパティフック」から学ぶオブジェクト指向設計とリスコフの置換原則
kentaroutakeda
2
1k
Azure AI Foundryではじめてのマルチエージェントワークフロー
seosoft
0
200
マッチングアプリにおけるフリックUIで苦労したこと
yuheiito
0
190
状態遷移図を書こう / Sequence Chart vs State Diagram
orgachem
PRO
2
210
What's new in AppKit on macOS 26
1024jp
0
150
AIと”コードの評価関数”を共有する / Share the "code evaluation function" with AI
euglena1215
1
180
テストから始めるAgentic Coding 〜Claude Codeと共に行うTDD〜 / Agentic Coding starts with testing
rkaga
15
5.6k
#QiitaBash MCPのセキュリティ
ryosukedtomita
1
1.5k
フロントエンドのパフォーマンスチューニング
koukimiura
5
2k
Python型ヒント完全ガイド 初心者でも分かる、現代的で実践的な使い方
mickey_kubo
1
240
20250708_JAWS_opscdk
takuyay0ne
2
130
おやつのお供はお決まりですか?@WWDC25 Recap -Japan-\(region).swift
shingangan
0
140
Featured
See All Featured
Building a Modern Day E-commerce SEO Strategy
aleyda
42
7.4k
Build The Right Thing And Hit Your Dates
maggiecrowley
37
2.8k
Producing Creativity
orderedlist
PRO
346
40k
How to Ace a Technical Interview
jacobian
278
23k
Git: the NoSQL Database
bkeepers
PRO
430
65k
Optimising Largest Contentful Paint
csswizardry
37
3.3k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
35
2.4k
KATA
mclloyd
30
14k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
26k
Bash Introduction
62gerente
613
210k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
251
21k
Reflections from 52 weeks, 52 projects
jeffersonlam
351
21k
Transcript
3VCZͷϋογϡςʔϒϧ ߴԽΛཧղ͢Δ /BP.JOBNJ !TPVUI
ࣗݾհ
/BP.JOBNJ!TPVUI !NJOBNJP 4PGUXBSFFOHJOFFS !8BOUFEMZ *OD
w 3VCZͱύϑΥʔϚϯε w 3VCZͰͷϋογϡςʔϒϧߴԽͱͦͷԸܙ w ߴԽͲ͏࣮ݱ͞Εͨͷ͔ʁ w ·ͱΊ ࠓ͢༰
w 3VCZͱύϑΥʔϚϯε w 3VCZͰͷϋογϡςʔϒϧߴԽͱͦͷԸܙ w ߴԽͲ͏࣮ݱ͞Εͨͷ͔ʁ w ·ͱΊ ࠓ͢༰
3VCZY
w ·Ͱʹ3VCZഒ͘ͳΔCZ!NBU[ 3VCZͱύϑΥʔϚϯε w .VMUJ5ISFBE +*5 FUD w 3VCZY w
3VCZͰͷϋογϡςʔϒϧߴԽ /&8
w 3VCZͱύϑΥʔϚϯε w 3VCZͰͷϋογϡςʔϒϧߴԽͱͦͷԸܙ w ߴԽͲ͏࣮ݱ͞Εͨͷ͔ʁ w ·ͱΊ ࠓ͢༰
ϋογϡςʔϒϧߴԽͱͦͷԸܙ
ϋογϡςʔϒϧߴԽͱͦͷԸܙ
ϋογϡςʔϒϧߴԽͱͦͷԸܙ w 36#:#&/$) w ߴԽ w ϝϞϦ༻ྔݮ 1000000.times.map{|i| a={}; 8.times{|j|
a[j]=j}; a} IUUQTSVCZCFODIPSHSVCZSVCZSFMFBTFT SFTVMU@UZQFIBTI@TNBMM
ϋογϡςʔϒϧߴԽͱͦͷԸܙ w QJDP@IUUQ@QBSTFS w ߴԽ IUUQLB[FCVSPIBUFOBCMPHDPNFOUSZ ʜ3VCZ ੨ʜ3VCZQSF
ܶతʹ͘ͳͬͯΔ
w 3VCZͱύϑΥʔϚϯε w 3VCZͰͷϋογϡςʔϒϧߴԽͱͦͷԸܙ w ߴԽͲ͏࣮ݱ͞Εͨͷ͔ʁ w ·ͱΊ ࠓ͢༰
ߴԽͲ͏࣮ݱ͞Εͨͷ͔ʁ w ϋογϡςʔϒϧͷিಥ࣌ͷڍಈΛมߋ $IBJOJOH 0QFO"ESFTTJOH w ϙΠϯτʮσʔλͷہॴੑͷ্ʯ
σʔλͷہॴੑͳͥॏཁ͔ w 1SPDFTTPSʹଟஈΩϟογϡ͕ଘࡏ w ΩϟογϡʹIJU͢ΔͱύϑΥʔϚϯε্ $16 L# .BJO.FNPSZ -$BDIF -$BDIF
-$BDIF .# (# L# # dOT IUUQTUBDLPWFSqPXDPNRVFTUJPOTBQQSPYJNBUFDPTUUPBDDFTTWBSJPVTDBDIFTBOENBJONFNPSZ dOT
σʔλͷہॴੑͳͥॏཁ͔ w 1SPDFTTPSʹଟஈΩϟογϡ͕ଘࡏ w σʔλͷہॴੑ͕ॏཁ $16 L# .BJO.FNPSZ -$BDIF -$BDIF
-$BDIF .# (# L# # dOT IUUQTUBDLPWFSqPXDPNRVFTUJPOTBQQSPYJNBUFDPTUUPBDDFTTWBSJPVTDBDIFTBOENBJONFNPSZ dOT
0QFO"ESFTTJOHͰσʔλͷہॴੑ্͕͕Δͷͳͥʁ w $IBJOJOH 0QFO"ESFTTJOHͭͷΞϧΰϦζϜΛൺֱ w ૬ҧϋογϡςʔϒϧͷিಥ࣌ͷڍಈ w $IBJOJOH࿈݁ϦετΛḷͬͯ୳ࡧ w 0QFO"ESFTTJOH"SSBZ্ͰJOEFYΛม͑ͯ୳ࡧ
w ڞ௨ w ϋογϡςʔϒϧLFZͷIBTIΛJOEFYʹར༻
$IBJOJOHͷΈ w UBCMF࿈݁ϦετͷϙΠϯλΛอ࣋ w ಉ͡IBTIΛ࣋ͭ߹ɺ࿈݁ϦετΛḷΔ IUUQXXXBMHPMJTUOFU%BUB@TUSVDUVSFT)BTI@UBCMF$IBJOJOH FOUSZ UBCMF LFZ
$IBJOJOHͷ w ࿈݁ϦετͷFOUSZɺNFNPSZ্ͰΕͯஔ w σʔλͷہॴੑ͕͍ FOUSZ UBCMF LFZ
3VCZҎલͷ$IBJOJOH w ํϦετʹͳ͓ͬͯΓɺσʔλͷہॴੑ͕͍ ͚ͩͰͳ͘QSFWϙΠϯλͳͲͷ͚ͩFOUSZͷσʔ λ͕Ͱ͔͍ͷ IUUQTEFWFMPQFSTSFEIBUDPNCMPHUPXBSETGBTUFSSVCZIBTIUBCMFT UBCMF FOUSZ FOUSZ FOUSZ
3VCZҎલͷ$IBJOJOH w ํϦετʹͳ͓ͬͯΓɺσʔλͷہॴੑ͕͍ ͚ͩͰͳ͘QSFWϙΠϯλͳͲͷ͚ͩFOUSZͷσʔ λ͕Ͱ͔͍ͷ IUUQTEFWFMPQFSTSFEIBUDPNCMPHUPXBSETGBTUFSSVCZIBTIUBCMFT UBCMF FOUSZ FOUSZ FOUSZ
͍
0QFO"ESFTTJOHͷΈ w UBCMFFOUSZͷQPJOUFSΛอ࣋ w ಉ͡IBTIΛ࣋ͭ߹ɺJOEFYΛͣΒ͢ FOUSZ UBCMF LFZ IUUQXXXBMHPMJTUOFU%BUB@TUSVDUVSFT)BTI@UBCMF0QFO@BEESFTTJOH
3VCZͷ0QFO"ESFTTJOH UBCMF FOUSJFT TUBSU CPVOE w UBCMF FOUSJFT͕྆ํ"SSBZʹͳ͓ͬͯΓσʔλͷہॴ ੑ͕ߴ͘ɺͭͭͷFOUSZͷσʔλαΠζখ͍͞ IUUQTEFWFMPQFSTSFEIBUDPNCMPHUPXBSETGBTUFSSVCZIBTIUBCMFT
3VCZͷ0QFO"ESFTTJOH UBCMF FOUSJFT TUBSU CPVOE w UBCMF FOUSJFT͕྆ํ"SSBZʹͳ͓ͬͯΓσʔλͷہॴ ੑ͕ߴ͘ɺͭͭͷFOUSZͷσʔλαΠζখ͍͞ ߴԽ
3VCZͰߋʹࡉ͔͘࠷దԽ w ͕݅গͳ͍࣌ͷ࠷దԽʢলϝϞϦɺߴԽʣ w ͕݅গͳ͍࣌BSSBZͭͰMJOFBSTFBSDI w ͕݅গͳ͍࣌CJU CJUͳͲͰJOEFYΛදݱ w 'VMMDZDMFMJOFBSDPOHSVFOUJBMHFOFSBUPSΛ
TFDPOEBSZIBTIͱͯ͠ར༻ w ߴ͔ͭIBTIͱͯ͠ͷੑೳྑ͍
w 3VCZͱύϑΥʔϚϯε w 3VCZͰͷϋογϡςʔϒϧߴԽͱͦͷԸܙ w ߴԽͲ͏࣮ݱ͞Εͨͷ͔ʁ w ·ͱΊ ࠓ͢༰
·ͱΊ w 3VCZϋογϡςʔϒϧ͕ܶతʹߴԽɻ࣮ࡍ ʹΞϓϦέʔγϣϯߴԽɻ w 3VCZʹͯ͠շదͳ3VCZϥΠϑΛૹΖ͏ʂ
ࢀߟϦϯΫ w 3VCZϦϦʔε w IUUQTXXXSVCZMBOHPSHKBOFXT SVCZSFMFBTFE w 'FBUVSF)BTIUBCMFTXJUIPQFOBESFTTJOH w IUUQTCVHTSVCZMBOHPSHJTTVFT
w 5PXBSET'BTUFS3VCZ)BTI5BCMFT w IUUQTEFWFMPQFSTSFEIBUDPNCMPHUPXBSET GBTUFSSVCZIBTIUBCMFT