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 advantage of using ’Eff’ in Scala Project
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
machu
June 28, 2019
Programming
2
13k
The advantage of using ’Eff’ in Scala Project
machu
June 28, 2019
Tweet
Share
More Decks by machu
See All by machu
NBAチームから学ぶ強いチームの作り方
machuz
0
52
Authorization to implement with Extensible Effect
machuz
0
450
アルプの 認証/認可分離戦略と手法
machuz
3
770
AuthzCtx - Alp社内共有会
machuz
0
89
アルプのEff独自エフェクト集 / Alp-original ’Eff’ pearls
machuz
1
2.2k
Scalebaseバックエンド構成について/the backend design of Scalebase
machuz
0
6.5k
SQL Meisterへの道 ~更新編~ / sql-meister-CUD
machuz
0
2.3k
SQL Meisterへの道 ~基礎〜参照編~ / sql-meister-R
machuz
0
2.7k
Authz
machuz
0
320
Other Decks in Programming
See All in Programming
Agentic AI: Evolution oder Revolution
mobilelarson
PRO
0
150
DSPy入門 Pythonで実現する自動プロンプト最適化 〜人手によるプロンプト調整からの卒業〜
seaturt1e
1
670
RAGでハマりがちな"Excelの罠"を、データの構造化で突破する
harumiweb
9
2.7k
S3ストレージクラスの「見える」「ある」「使える」は全部違う ─ 体験から見た、仕様の深淵を覗く
ya_ma23
0
300
株式会社 Sun terras カンパニーデック
sunterras
0
2.1k
CDIの誤解しがちな仕様とその対処TIPS
futokiyo
0
200
AIコードレビューの導入・運用と AI駆動開発における「AI4QA」の取り組みについて
hagevvashi
0
420
Fundamentals of Software Engineering In the Age of AI
therealdanvega
1
240
Takumiから考えるSecurity_Maturity_Model.pdf
gessy0129
1
140
SourceGeneratorのマーカー属性問題について
htkym
0
180
Rで始めるML・LLM活用入門
wakamatsu_takumu
0
170
Ruby and LLM Ecosystem 2nd
koic
1
490
Featured
See All Featured
Leading Effective Engineering Teams in the AI Era
addyosmani
9
1.7k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.1k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.5k
Leo the Paperboy
mayatellez
4
1.5k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
760
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
140
How to Talk to Developers About Accessibility
jct
2
150
Balancing Empowerment & Direction
lara
5
940
GitHub's CSS Performance
jonrohan
1032
470k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.6k
Transcript
The advantage of using ’Eff’ in Scala Project Scala Matsuri
2019 @ma2k8 4DBMBϓϩδΣΫτͰ&⒎Λ༻͢Δར
About Me ▶Tsubasa Matsukawa - SWE&SRE at Recruit Marketing Partners
Co.,Ltd. & Quipper Co.,Ltd. @wing_007 ϦΫϧʔτϚʔέςΟϯάύʔτφʔζ݉2VJQQFSॴଐͰ 48&ͱ43&ྖҬΛ୲͍ͯ͠·͢ɻ
Our Products ▶Study Sapuri English - English learning app [
Web/iOS/Android ] ओʹελσΟαϓϦ&OHMJTIͷ։ൃΛ͍ͯ͠·͢ɻ ӳޠֶशʹڵຯ͕͋Δํੋඇ
Scala has an elegant syntactic sugar ‘for expression’. To make
the most of this force…. 4DBMBʹૉఢͳҥߏจGPS͕ࣜ͋Γ·͢ɻ ͦͷྗΛ࠷େݶར༻͢ΔͨΊʹɾɾɾ
We needed to decided which ‘types’ to primarily use to
when starting Scala projects. ࢲୡ4DBMBͷϓϩδΣΫτΛ։࢝͢ΔࡍɺओʹͲͷʮܕʯΛ ༻͢Δͷ͔ΛܾΊΔඞཁ͕͋Γ·͢ɻ
These ‘types’ are often chosen. ▶Future[A] ▶Future[Try[A]] ▶Future[E Either A]
▶EitherT[Future, E, A] ※There is also case that uses "Task" instead of "Future" ͜ͷΑ͏ͳܕ͕Α͘બΕΔͰ͠ΐ͏ɻ 'VUVSFͷΘΓʹ5BTLΛ͏͜ͱ͋Γ·͢
Our team is trying…. Eff[R, A] ࢲୡͷνʔϜͰ&⒎Λࢼ͍ͯ͠·͢
Each pros and cons were…? ͦΕͧΕͷϝϦοτσϝϦοτʁ
Future[A]
▶ Easy ॴ؆୯͞ʹਚ͖·͢ɻ Pros of Future[A]
Cons of Future[A] ▶ Rough error handling. ▶ Semaphore hard.
※Task solve Semaphore problem. ॴηϚϑΥͷ੍ޚ͕͍͠ͱɺ ΤϥʔϋϯυϦϯά͕େࡶʹ͔͠ߦ͑ͳ͍Ͱ͢ɻ
Future[Try[A]] ɹ
Pros of Future[Try[A]] ▶ Error handling is possible. ॴΤϥʔϋϯυϦϯά͕ՄೳʹͳΔͰ͢ɻ
Cons of Future[Try[A]] ▶ Only throwable can be used ▶
Syntax is not simple(Coding 'try ~ catch' every time is very troublesome. ॴΤϥʔϋϯυϦϯάʹ༻Ͱ͖Δܕ͕ 5ISPXBCMFʹݶΔͱγϯλοΫε͕ෳࡶʹͳΔͰ͢ɻ
Personally, I often use ‘Try’ when wrapping Java libraries, but
since I convert to ‘Either’, they do not appear in signatures. ݸਓతʹ5SZ+BWBϥΠϒϥϦͷ8SBQͰΑ͍͘·͕͢ɺ &JUIFSܕʹม͠ɺγάχνϟʹग़͠·ͤΜɻ
Future[E Either A]
Pros of Future[E Either A] ▶ Flexible Error handling is
possible. ▶ E is ADT can be flexible expression. ▶ Every time force error handling. ॴ5SZΑΓॊೈͳΤϥʔϋϯυϦϯά͕ ՄೳʹͳΔͰ͢ɻ
Cons of Future[E Either A] ▶ Rough error handling. ▶
Every time need to match the type even if you don't need error handling. ॴΤϥʔϋϯυϦϯά͕ ෆཁͳՕॴͰܕ߹Θ͕ͤඞཁʹͳΔͰ͢ɻ
EitherT[Future, E, A]
Pros of EitherT[Future, E, A] ▶ Can solve part of
the complexity of nesting. ॴ͋Δఔωετͯ͠ GPSࣜΛγϯϓϧʹอͯΔͰ͢ɻ
Cons of EitherT[Future, E, A] ▶ It gets slower as
types are stacked. ▶ May change results in evaluation order. ▶ Too many lift. ॴɺධՁॱͰ݁Ռ͕มΘΔՄೳੑ͕͋ΓɺϞφυ ελοΫʹ٧Ήܕ͕૿͑Δͱɺܕ߹Θ͕ͤࡶʹͳΔͰ͢ɻ
Eff[R, A]
Pros of Eff[R, A] ▶ ‘Eff’ can solve other ‘types’
disadvantage. ▶ Simple syntax. ▶ Can simply use various effects. ▶ Can solved performance problem when types are stacked. ▶ A result doesn't change for the order of evaluation. &⒎͜Ε·Ͱհͨ͠ܕͷσϝϦοτͷ େ෦ΛղফͰ͖·͢ɻ
Cons of Eff[R, A] ▶’Eff’ is very simple syntax. But
not easy. ▶ difficult effects wire. ▶ Anything is lazy evaluation. ▶ Complexity of type specification. &⒎ͷσϝϦοτɺ؆୯Ͱͳ͍Ͱ͢ɻ ͋Δఔͷ׳ΕඞཁͰ͠ΐ͏ɻ
Our project used ‘Eff’ on clean architecture. զʑͷϓϩδΣΫτͰɺ$MFBO"SDIJUFDUVSFͰઃܭ͠ɺ Ҿ͖ճ͢ܕʹ&⒎Λ༻͢ΔߏΛಋೖ͍ͯ͠·͢ɻ
͜ͷΑ͏ʹෳͷޮՌΛϑϥοτʹهड़Ͱ͖ΔͷͰɺ γϯϓϧʹهड़Ͱ͖͍ͯ·͢ɻ
How to use ‘Eff’ &⒎ͷ͍ํ Library: https://github.com/atnos-org/eff
Define ADT "%5Λఆٛ͠·͢ɻ
Define Smart-constructer "%5Λ&⒎ʹੵΉεϚʔτίϯετϥΫλΛఆٛ͠·͢ɻ
ੵΜͩ"%5Λղऍ͢ΔΠϯλϓϦλΛఆٛ͠·͢ɻ Define Interpreter
Ready to use ‘Eff’. ͜ΕͰ&⒎Λར༻͢Δ४උ͕Ͱ͖·ͨ͠ɻ
&⒎Λར༻ͨ͠ϓϩάϥϜΛॻ͖·͢ɻ Write program!!
ΠϯλϓϦλʹ͔͚ͯ&⒎Λ࣮ߦ͠·͢ɻ SVO99ͷؔͦΕͧΕJNQMJDJUDPOWFSTJPOͰੜͯ͠·͢ɻ Run program!!
‘Eff’ is Good! &⒎͍͍ͧʂʢհهࣄͱίʔυαϯϓϧష͓͖ͬͯ·͢ Introduction article: https://tech.recruit-mp.co.jp/server-side/post-18728/ɹ Code sample: https://github.com/ma2k8/eff-arch-example
Thanks! ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ