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
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
45
Authorization to implement with Extensible Effect
machuz
0
420
アルプの 認証/認可分離戦略と手法
machuz
3
750
AuthzCtx - Alp社内共有会
machuz
0
75
アルプのEff独自エフェクト集 / Alp-original ’Eff’ pearls
machuz
1
2.1k
Scalebaseバックエンド構成について/the backend design of Scalebase
machuz
0
6.4k
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
2.6k
Authz
machuz
0
310
Other Decks in Programming
See All in Programming
未来を拓くAI技術〜エージェント開発とAI駆動開発〜
leveragestech
2
150
「リーダーは意思決定する人」って本当?~ 学びを現場で活かす、リーダー4ヶ月目の試行錯誤 ~
marina1017
0
230
バイブコーディングの正体——AIエージェントはソフトウェア開発を変えるか?
stakaya
5
950
MCP連携で加速するAI駆動開発/mcp integration accelerates ai-driven-development
bpstudy
0
300
DynamoDBは怖くない!〜テーブル設計の勘所とテスト戦略〜
hyamazaki
1
200
DockerからECSへ 〜 AWSの海に出る前に知っておきたいこと 〜
ota1022
5
1.6k
decksh - a little language for decks
ajstarks
4
21k
コンテキストエンジニアリングで変わるAI活用 リファクタリングワークフローの実践から学んだ形式知
leveragestech
0
100
あまり知られていない MCP 仕様たち / MCP specifications that aren’t widely known
ktr_0731
0
280
Portapad紹介プレゼンテーション
gotoumakakeru
1
130
Amazon Q CLI開発で学んだAIコーディングツールの使い方
licux
3
180
GitHub Copilotの全体像と活用のヒント AI駆動開発の最初の一歩
74th
7
2.9k
Featured
See All Featured
Rebuilding a faster, lazier Slack
samanthasiow
83
9.1k
Building Flexible Design Systems
yeseniaperezcruz
328
39k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.6k
Statistics for Hackers
jakevdp
799
220k
Writing Fast Ruby
sferik
628
62k
A better future with KSS
kneath
239
17k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3.1k
Making the Leap to Tech Lead
cromwellryan
134
9.5k
Imperfection Machines: The Place of Print at Facebook
scottboms
268
13k
Unsuck your backbone
ammeep
671
58k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
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