Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Micro Performance Improvements (Short Version)
Search
Ernesto Tagwerker
April 26, 2017
Technology
0
52
Micro Performance Improvements (Short Version)
Small Ruby and Rails code improvements you can do to have high performance in your application.
Ernesto Tagwerker
April 26, 2017
Tweet
Share
More Decks by Ernesto Tagwerker
See All by Ernesto Tagwerker
Stuck in the Tar Pit at Sin City Ruby '24
etagwerker
1
300
Lightning Talk: Escaping the Tar Pit
etagwerker
1
130
Fortify Rails Webinar
etagwerker
0
2.4k
Here Be Dragons: The Hidden Gems of Technical Debt
etagwerker
0
240
Lessons Learned from Open Source
etagwerker
0
100
Upgrading Rails: The Dual-Boot Way
etagwerker
1
480
Ruby 3.0 & Rails 6.1
etagwerker
0
200
RubyMem: The Leaky Gems Database for Bundler at Ruby Kaigi Takeout 2020
etagwerker
0
270
Escaping The Tar Pit at NYC.rb
etagwerker
0
120
Other Decks in Technology
See All in Technology
AI時代の新規LLMプロダクト開発: Findy Insightsを3ヶ月で立ち上げた舞台裏と振り返り
dakuon
0
180
ウェルネス SaaS × AI、1,000万ユーザーを支える 業界特化 AI プロダクト開発への道のり
hacomono
PRO
0
110
会社紹介資料 / Sansan Company Profile
sansan33
PRO
11
390k
Jakarta Agentic AI Specification - Status and Future
reza_rahman
0
110
エンジニアとPMのドメイン知識の溝をなくす、 AIネイティブな開発プロセス
applism118
4
1.3k
年間40件以上の登壇を続けて見えた「本当の発信力」/ 20251213 Masaki Okuda
shift_evolve
PRO
1
140
AWS Security Agentの紹介/introducing-aws-security-agent
tomoki10
0
300
生成AI活用の型ハンズオン〜顧客課題起点で設計する7つのステップ
yushin_n
0
230
MLflowで始めるプロンプト管理、評価、最適化
databricksjapan
1
250
生成AIを利用するだけでなく、投資できる組織へ / Becoming an Organization That Invests in GenAI
kaminashi
0
100
re:Invent 2025 ~何をする者であり、どこへいくのか~
tetutetu214
0
220
CARTAのAI CoE が挑む「事業を進化させる AI エンジニアリング」 / carta ai coe evolution business ai engineering
carta_engineering
0
1.9k
Featured
See All Featured
GraphQLとの向き合い方2022年版
quramy
50
14k
Designing Experiences People Love
moore
143
24k
Unsuck your backbone
ammeep
671
58k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
34k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Agile that works and the tools we love
rasmusluckow
331
21k
A Tale of Four Properties
chriscoyier
162
23k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.6k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Done Done
chrislema
186
16k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.3k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
9
1k
Transcript
Micro Performance Improvements RailsConf, April 2017
Ernesto Tagwerker @etagwerker Founder & Software Developer at Ombu Labs
Best Practices 3
https://github.com/bbatsov/ruby-style-guide
https://speakerdeck.com/sferik/writing-fast-ruby
Bad Code vs. Good Code 6
# Bad HOUR_6 = Time.parse("2000-01-01 06:00:00 UTC") # Good HOUR_6
= Time.at(946685160).utc
$ bundle exec ruby benchmarks/time/parse_vs_at.rb Ruby version: 2.3.3 Warming up
-------------------------------------- Time.parse 3.287k i/100ms Time.at 66.086k i/100ms Calculating ------------------------------------- Time.parse 34.052k (± 3.2%) i/s - 170.924k in 5.024737s Time.at 842.576k (± 2.2%) i/s - 4.230M in 5.022207s Comparison: Time.at: 842576.2 i/s Time.parse: 34051.9 i/s - 24.74x slower
# OK phone = Hash.new(number: number) phone[:number] # Better Phone
= Struct.new(:number) phone = Phone.new(number) phone.number
$ bundle exec ruby benchmarks/struct_vs_hash.rb Ruby version: 2.3.3 Warming up
-------------------------------------- struct 22.148k i/100ms hash 4.688k i/100ms Calculating ------------------------------------- struct 240.460k (± 2.7%) i/s - 1.218M in 5.069592s hash 47.926k (± 3.9%) i/s - 243.776k in 5.094413s Comparison: struct: 240459.9 i/s hash: 47926.1 i/s - 5.02x slower
# Bad Post.select(:id).map(&:id) # Good Post.pluck(:id)
$ bundle exec rake benches:pluck_vs_map Ruby version: 2.3.3 Warming up
-------------------------------------- map(&:id) 11.000 i/100ms pluck(:id) 80.000 i/100ms Calculating ------------------------------------- map(&:id) 124.205 (±11.3%) i/s - 616.000 in 5.026999s pluck(:id) 807.127 (± 2.0%) i/s - 4.080k in 5.057062s Comparison: pluck(:id): 807.1 i/s map(&:id): 124.2 i/s - 6.50x slower
https://github.com/ombulabs/benches/ 13
Resources 14
15 https://speakerdeck.com/etagwerker/micro- performance-improvements https://github.com/evanphx/benchmark-ips https://github.com/evanphx/benchmark.fyi
Thank you! @etagwerker 16