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
The Value of Being Lazy
Search
Erik Berlin
November 24, 2015
Programming
880
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
The Value of Being Lazy
…or How I Made OpenStruct 10X Faster
Presented at Rails Israel 2015.
Erik Berlin
November 24, 2015
More Decks by Erik Berlin
See All by Erik Berlin
Enumerator::Lazy
sferik
2
720
Ruby Trivia 3
sferik
0
790
Ruby Trivia 2
sferik
0
840
Ruby Trivia
sferik
2
1.4k
💀 Symbols
sferik
5
2k
Content Negotiation for REST APIs
sferik
8
1.1k
Writing Fast Ruby
sferik
630
63k
Mutation Testing with Mutant
sferik
5
1.2k
Other Decks in Programming
See All in Programming
PHPだって関数型したい 〜できること、できないこと〜 / fp-in-php
jsoizo
1
260
Build-to-own AI: Agentic Development for Humans
inesmontani
PRO
0
160
琵琶湖の水は止められてもNet--HTTPのリトライは止められない / You might be able to stop the water flow of Lake Biwa but you can't stop Net::HTTP retries
luccafort
PRO
0
500
使用 Meilisearch 建立新聞搜尋工具
johnroyer
0
200
地域 SRE コミュニティ最前線 - ホンマでっかSRE勉強会
tk3fftk
0
290
【やさしく解説 設計編・中級 #1】一つの車に、運転手は一人 ~ある倉庫システムの事例から~
panda728
PRO
0
200
PHP に部分適用が来るぞ!……ところで何それ?おいしいの? #phpcon / phpcon-2026
shogogg
0
480
AWS DevOps AgentのAzure接続機能を検証して見えた活用法/Use Cases Verified for the AWS DevOps Agent's Azure Connectivity Feature
masakiokuda
1
190
AI時代に設計が 最大の生産性レバーになる 意図駆動開発とデータを消さない設計|Don't Delete Your Data or Your Intent — Design as the Deepest Lever in the AI Era
tomohisa
0
220
TSX の <Hoge<Fuga>> という構文に驚いた話 / tsx-type-argument-syntax
kanaru0928
0
180
ルールを書いて終わらせないハーネスエンジニアリング
yug1224
4
1.8k
ソフトウェア設計に溶けるインフラ ― AWS CDK のインフラ認識論
konokenj
3
720
Featured
See All Featured
職位にかかわらず全員がリーダーシップを発揮するチーム作り / Building a team where everyone can demonstrate leadership regardless of position
madoxten
64
56k
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
190
Everyday Curiosity
cassininazir
0
270
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
750
Rails Girls Zürich Keynote
gr2m
96
14k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.6k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
480
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
430
Visualization
eitanlees
152
17k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.7k
Google's AI Overviews - The New Search
badams
0
1.1k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
201
75k
Transcript
THE VALUE OF BEING LAZY or How I Made OpenStruct
10X Faster Erik Michaels-Ober @sferik
In Ruby, everything is an object. ∀ thing thing.is_a?(Object) #=>
true
In Ruby, every object has a class. ∀ object object.respond_to?(:class)
#=> true
In Ruby, every class has a class. ∴ Object.respond_to?(:class) #=>
true Object.class #=> Class
You can use classes to create new objects: object =
Object.new object.class #=> Object
You can use classes to create new classes: klass =
Class.new klass.class #=> Class
Usually, we create classes like this: class Point attr_accessor :x,
:y def initialize(x, y) @x, @y = x, y end end
You can replace such simple classes with structs: Point =
Struct.new(:x, :y)
OpenStruct requires even less definition: point = OpenStruct.new point.x =
1 point.y = 2
In this way, OpenStruct is similar to Hash: point =
Hash.new point[:x] = 1 point[:y] = 2
You can even initialize OpenStruct with a Hash: point =
OpenStruct.new(x: 1, y: 2) point.x #=> 1 point.y #=> 2
So why use OpenStruct instead of Hash?
Test double validator = OpenStruct.new expect(validator).to receive(:validate) code = PostalCode.new("94102",
validator) code.valid?
API response user = OpenStruct.new(JSON.parse(response)) user.name #=> Erik
Configuration object def options opts = OpenStruct.new yield opts opts
end
So OpenStruct is useful…but slow.
None
Steps to optimize code 1. Complain that code is slow
on Twitter 2. ??? 3. Profit
Actual steps to optimize code 1. Benchmark 2. Read code
3. Profit
Actual steps to optimize code 1. Benchmark 2. Read code
3. Profit
require "benchmark/ips" Point = Struct.new(:x, :y) def struct Point.new(0, 1)
end def ostruct OpenStruct.new(x: 0, y: 1) end Benchmark.ips do |x| x.report("ostruct") { ostruct } x.report("struct") { struct } end
Comparison: struct: 2927800.2 i/s ostruct: 84741.1 i/s - 34.55x slower
Actual steps to optimize code 1. Benchmark 2. Read code
3. Profit
def initialize(hash = nil) @table = {} if hash hash.each_pair
do |k, v| k = k.to_sym @table[k] = v new_ostruct_member(k) end end end
def new_ostruct_member(name) name = name.to_sym unless respond_to?(name) define_singleton_method(name) { @table[name]
} define_singleton_method("#{name}=") { |x| @table[name] = x } end name end
def method_missing(mid, *args) len = args.length if mname = mid[/.*(?==\z)/m]
@table[new_ostruct_member(mname)] = args[0] elsif len == 0 if @table.key?(mid) new_ostruct_member(mid) @table[mid] end end end
def initialize(hash = nil) @table = {} if hash hash.each_pair
do |k, v| k = k.to_sym @table[k] = v new_ostruct_member(k) end end end
Before: struct: 2927800.2 i/s ostruct: 84741.1 i/s - 34.55x slower
After: struct: 2927800.2 i/s ostruct: 940170.4 i/s - 3.11x slower
None
None
git log --reverse lib/ostruct.rb
None
Lazy evaluation
Enumerator::Lazy
lazy_integers = (1..Float::INFINITY).lazy lazy_integers.collect { |x| x ** 2 }.
select { |x| x.even? }. reject { |x| x < 1000 }. first(5) #=> [1024, 1156, 1296, 1444, 1600]
require "prime" lazy_primes = Prime.lazy lazy_primes.select { |x| (x -
2).prime? }. collect { |x| [x - 2, x] }. first(5) #=> [[3, 5], [5, 7], [11, 13], [17, 19], [29, 31]]
module Enumerable def repeat_after_first unless block_given? return to_enum(__method__) { size
* 2 - 1 if size } end each.with_index do |*val, index| index == 0 ? yield *val : 2.times { yield *val } end end end
require "prime" lazy_primes = Prime.lazy lazy_primes.repeat_after_first. each_slice(2). select { |x,
y| x + 2 == y }. first(5) #=> [[3, 5], [5, 7], [11, 13], [17, 19], [29, 31]]
require "date" lazy_dates = (Date.today..Date.new(9999)).lazy lazy_dates.select { |d| d.day ==
13 }. select { |d| d.friday? }. first(10)
lazy_file = File.readlines("/path/to/file").lazy lazy_file.detect { |x| x =~ /regexp/ }
Being lazy is efficient.
Being lazy is elegant.
Thanks to: Zachary Scott ROSS Conf Rails Israel
Thank you