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
5分で分かるかもしれないjava8 Stream API
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Kazuhiro Serizawa
November 26, 2015
Programming
2.3k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
5分で分かるかもしれないjava8 Stream API
Kazuhiro Serizawa
November 26, 2015
More Decks by Kazuhiro Serizawa
See All by Kazuhiro Serizawa
Accelerating Machine Learning I/O by Overlapping Data Staging and Mini-batch Generations
serihiro
1
360
hpc170_slide.pdf
serihiro
0
98
画像解像度別ImageNetの100 iterationの合計処理時間比較
serihiro
0
160
深層ニューラルネットワークにおける訓練高速化のための自動最適化
serihiro
0
86
Introduction to Parallel Computing 2.2
serihiro
0
85
My summer internship result at Treasure Data 2018 #td_intern
serihiro
0
2.2k
startupでもrails使うなら これだけはやっとけ的 tips集
serihiro
19
10k
つらくないコードレビューの運用
serihiro
43
20k
Other Decks in Programming
See All in Programming
エンジニアと一緒にテストコードの設計と実装を改善した話
mototakatsu
0
210
DynamoDBには集計系のクエリがないけどなんとかしたい
musan
1
180
さぁV100、メモリをお食べ・・・
nilpe
0
150
気づいたらRubyで100作品 ー クリエイティブコーディングが生活の一部になるまで / 100 Ruby Sketches Later: How Creative Coding Became Part of My Life
chobishiba
3
590
Spring Security 実践 ─ GraphQL APIで実務に役立つ 認証・認可 を学ぶ
wagyu
0
250
Datadog × OpenTelemetry 入門と実践のあいだ
kn_to_maxpno
1
160
気圧・高度・GPSを記録&可視化するアプリ「Koudo」を作った話
hjmkth
1
290
作って学ぶ、 JSX (TSX) ランタイムの基本
syumai
7
1.6k
Performance Engineering for Everyone
elenatanasoiu
0
180
Lemonade + Foundry Toolkit でお手軽アプリ開発
seosoft
1
360
Strategic Design in the Frontend: Moduliths & Micro Frontends @DDDEurope
manfredsteyer
PRO
0
110
決定論的オーケストレーションの設計と実装 / Design and Implementation of Deterministic Orchestration
nrslib
4
1.4k
Featured
See All Featured
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
38
2.9k
Thoughts on Productivity
jonyablonski
76
5.2k
Darren the Foodie - Storyboard
khoart
PRO
3
3.4k
Documentation Writing (for coders)
carmenintech
77
5.4k
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
65
56k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
320
Product Roadmaps are Hard
iamctodd
PRO
55
12k
Amusing Abliteration
ianozsvald
1
210
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
210
Facilitating Awesome Meetings
lara
57
7k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
170
Transcript
5Ͱ͔Δ͔͠Εͳ͍ java8 Stream API
java8ʹ͍ͭͯ • 20143݄18ʹOracle͔Βެ։ • “ੈքҰͷ։ൃϓϥοτϑΥʔϜͷըظతͳϦϦʔ ε” ※OracleେຊӦൃද • ϥϜμࣜɺStreamAPIɺDate and
Time APIͳͲͷ ৽ػೳͷಋೖͰjavaքʹֵ໋͕ʂ ʢͱࢥ͚ͬͨͲͦ͜·ͰΓ্͕Βͳ͔ͬͨʣ
ࠓ͔̑͠ͳ͍ͷͰ • Stream APIʹ͍ͭͯ֓ཁΛ͠·͢ • ʮjavaগ͠ϚγʹͳͬͨΑ͏ͩͳʯ ͱ͍͏ͷΛײ͡औͬͯΒ͑Ε͍Ͱ͢
Stream APIͱʁ • ྻɺϦετͳͲͷෳͷσʔλʹ͓͚Δू ૢ࡞ͷαϙʔτΛߦ͏API • ฒߦॲཧΒͷϕϯϦػೳΛఏڙͯ͘͠ΕΔ UtilͰͳ͘Interface͚ͩΛఏڙ͢Δ
Stream APIͱʁ • ཁ͢ΔʹRubyͰݴ͏ͱ͜Ζͷ • Enumerable#each • Enumerable#select • Enumerable#map
• ͜ΕΒͷॲཧΛʮܾ·ͬͨखॱͰ࣮ߦ͢ΔʯAPI • Stream API ≠࣮ɻInterfaceͷΈΛఆ͍ٛͯ͠Δɻ
StreamΛΘͳ͍߹ͷྫ List<Integer> list = Arrays.asList(1,2,3); Integer result = 0; for
(Integer i : list) { result += i * i; } System.out.println(result); //14
ͳ͓ruby result = [1,2,3] .map{ |i| i*i } .inject{ |a,b|
a + b } puts result #=> 14
StreamΛ͏߹ͷྫ List<Integer> list = Arrays.asList(1,2,3); Integer result = list.stream() .map(x
-> x * x) .reduce((a, b) -> a + b) .get(); System.out.println(result); //14
Stream APIΛ༻͍࣮ͨ "SSBZ -JTUͳͲͷ %BUBTPVSDF TUSFBN࡞ தؒૢ࡞ ϑΟϧλϦϯάɾͷૢ࡞ͳͲ ऴૢ࡞ ूૢ࡞ɾผΫϥεͷมɾ
ஞ࣍ॲཧͳͲ ॲཧ͞Εͨ݁Ռ list.stream() .map(x -> x * x) .reduce((a, b) -> a + b) .get();
ඪ४ϥΠϒϥϦ with Stream Stream<String> lines = Files.lines(path) lines.filter(line -> line.startsWith(“a”))
.map(s -> s.toUpperCase) .forEach(s -> System.out.println(s)); // “AMAZON” // “ATOM”
StreamʹΑͬͯԿ͕͏Ε͍͔͠ • σʔλϦιʔεૢ࡞ͷ࣮ͷ؆ུԽ • ϥϜμࣜͱΈ߹ΘͤΔ͜ͱͰ ؔܕͬΆ͍syntaxʹ • σʔλϦιʔεʹର͢Δฒߦॲཧɾࢄॲཧ Λstream()ϝιουʹӅṭԽ࣮ͯ͠Ͱ͖Δ
Collection frameworkͩͱ ϚϧνεϨουͰฒߦॲཧ͢ΔstreamΛ࡞ΕΔ List<Integer> list = Arrays.asList(1,2,3); Integer result =
list.parallelStream() .map(x -> x * x) .reduce((a, b) -> a + b) .get(); System.out.println(result); //14
༨ஊɿ Apache SparkΛͬͨࢄॲཧ࣮ input. flatMap(line -> Arrays.asList(line.split("\\s+"))) .mapToPair(word -> new
Tuple2(word, 1)) .reduceByKey((x, y) -> (Integer) x + (Integer) y) .sortByKey() .collect();
Stream APIͷ·ͱΊ • ීஈྑ͘͏Collection Frameworkͷॲཧ͕ γϯϓϧʹ࣮Ͱ͖ΔΑ͏ʹͳΔ • rubyʹ༏͍͠ • ࢄɾฒߦॲཧΛӅṭԽ࣮ͯ͠Ͱ͖ͦ͏ͳ
ઃܭํΛ͍ࣔͯ͠Δ