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
Micro Performance Improvements
Search
Ernesto Tagwerker
April 26, 2017
Technology
0
55
Micro Performance Improvements
A few changes that you can do to your code to make it have a faster performance
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
250
Lightning Talk: Escaping the Tar Pit
etagwerker
1
100
Fortify Rails Webinar
etagwerker
0
2.2k
Here Be Dragons: The Hidden Gems of Technical Debt
etagwerker
0
190
Lessons Learned from Open Source
etagwerker
0
79
Upgrading Rails: The Dual-Boot Way
etagwerker
1
460
Ruby 3.0 & Rails 6.1
etagwerker
0
170
RubyMem: The Leaky Gems Database for Bundler at Ruby Kaigi Takeout 2020
etagwerker
0
230
Escaping The Tar Pit at NYC.rb
etagwerker
0
93
Other Decks in Technology
See All in Technology
速くて安いWebサイトを作る
nishiharatsubasa
14
15k
短縮URLをお手軽に導入しよう
nakasho
0
110
Goで作って学ぶWebSocket
ryuichi1208
3
2.3k
Classmethod AI Talks(CATs) #17 司会進行スライド(2025.02.19) / classmethod-ai-talks-aka-cats_moderator-slides_vol17_2025-02-19
shinyaa31
0
160
深層学習と古典的画像アルゴリズムを組み合わせた類似画像検索内製化
shutotakahashi
1
260
あれは良かった、あれは苦労したB2B2C型SaaSの新規開発におけるCloud Spanner
hirohito1108
2
770
ホワイトボードチャレンジ 説明&実行資料
ichimichi
0
130
Culture Deck
optfit
0
480
白金鉱業Meetup Vol.17_あるデータサイエンティストのデータマネジメントとの向き合い方
brainpadpr
7
910
分解して理解する Aspire
nenonaninu
2
490
プロダクトエンジニア構想を立ち上げ、プロダクト志向な組織への成長を続けている話 / grow into a product-oriented organization
hiro_torii
1
290
システム・ML活用を広げるdbtのデータモデリング / Expanding System & ML Use with dbt Modeling
i125
1
250
Featured
See All Featured
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
4
420
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
12
980
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
6
560
KATA
mclloyd
29
14k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Scaling GitHub
holman
459
140k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
21
2.5k
Thoughts on Productivity
jonyablonski
69
4.5k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
28
9.3k
The Pragmatic Product Professional
lauravandoore
32
6.4k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
9
500
Keith and Marios Guide to Fast Websites
keithpitt
411
22k
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 return true unless OBJECT.nil? # Good return true
if OBJECT
Benchmark.ips do |x| OBJECT = "nil".freeze x.report("unless nil") do true
unless OBJECT.nil? end x.report("if object") do true if OBJECT end x.compare! end
$ bundle exec ruby benchmarks/unless_nil_vs_if_object.rb Ruby version: 2.3.3 Warming up
-------------------------------------- unless nil 251.994k i/100ms if object 267.552k i/100ms Calculating ------------------------------------- unless nil 9.435M (± 6.9%) i/s - 47.123M in 5.021124s if object 11.431M (± 4.9%) i/s - 57.256M in 5.021363s Comparison: if object: 11431148.2 i/s unless nil: 9435226.8 i/s - 1.21x 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 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
# 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
Resources 16
17 https://github.com/ombulabs/benches/ https://github.com/evanphx/benchmark-ips https://github.com/evanphx/benchmark.fyi
Thank you! @etagwerker 18