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
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
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
380
hpc170_slide.pdf
serihiro
0
100
画像解像度別ImageNetの100 iterationの合計処理時間比較
serihiro
0
170
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
95
Introduction to Parallel Computing 2.2
serihiro
0
89
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
21k
Other Decks in Programming
See All in Programming
komatsuna「分散システムにおけるバグ分析手法」
komatsunaqa
0
280
DynamoDBの基礎を振り返りながらベクトル検索機能を理解する
musan
2
210
「寝てても仕事が進む」Claude Codeで組む第二の脳
tomoyafujita2016
0
360
React本体のコードリーディング
high_g_engineer
1
160
tsc.rip を支える技術 / Kyoto.なんか #8
susisu
0
280
AWS Transform Customによる Spring Boot 2.xから4.xへのVerUp
satoshi256kbyte
2
100
freeeにおけるEvalsの実践例の紹介
freee
PRO
0
150
AIと壁打ちしながら進めるコスト管理
fufuhu
2
1.7k
仕様駆動開発の消費期限
watany
20
9k
Claude Code全社展開のためにやったことn選~プラグイン302個・コミッター271人を支えるために~
kenchan
5
1.7k
楽しそうなつよつよエンジニアと目が死んでる僕/A brilliant engineer having a blast, and dead-eyed me.
3l4l5
2
250
レビュー履歴をAIに食わせて、 Compose移行を加速するs
shihochan
0
210
Featured
See All Featured
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
300
4 Signs Your Business is Dying
shpigford
187
23k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
490
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Code Reviewing Like a Champion
maltzj
528
40k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
3
1.1k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
430
The agentic SEO stack - context over prompts
schlessera
0
880
jQuery: Nuts, Bolts and Bling
dougneiner
66
8.6k
Code Review Best Practice
trishagee
74
20k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
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