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
Microservices Batch on GAE
Search
petitviolet
March 27, 2018
Programming
0
1.9k
Microservices Batch on GAE
Implement microservices architecture batch Scala program on Google AppEngine Standard Environment.
petitviolet
March 27, 2018
Tweet
Share
More Decks by petitviolet
See All by petitviolet
Stripeで請求書払い&銀行振込を実装する
petitviolet
0
1.4k
ピュアなドメインを支える技術/pure domain model and the technology behind it
petitviolet
14
10k
小さく始めるクラウドネイティブ/small start CloudNative
petitviolet
0
1.9k
2019年だからこそ12factor app/The Twelve-Factor app in 2019
petitviolet
1
1k
実践GraphQL on Scala/Real world GraphQL on Scala
petitviolet
8
3k
Kubernetesを知る/Introduction Kubernertes
petitviolet
1
640
GraphQL on Scala
petitviolet
3
2.6k
Web API Design
petitviolet
18
8.4k
Property Based Testing introduction
petitviolet
1
120
Other Decks in Programming
See All in Programming
Making TCPSocket.new "Happy"!
coe401_
1
3.3k
今話題のMCPサーバーをFastAPIでサッと作ってみた
yuukis
0
120
In geheimer Mission: AI Agents entwickeln
joergneumann
0
110
Cursorを活用したAIプログラミングについて 入門
rect
0
170
Vibe Coding の話をしよう
schroneko
14
3.7k
実践Webフロントパフォーマンスチューニング
cp20
45
10k
状態と共に暮らす:ステートフルへの挑戦
ypresto
3
1.2k
エンジニア向けCursor勉強会 @ SmartHR
yukisnow1823
3
12k
Optimizing JRuby 10
headius
0
580
音声プラットフォームのアーキテクチャ変遷から学ぶ、クラウドネイティブなバッチ処理 (20250422_CNDS2025_Batch_Architecture)
thousanda
0
400
スモールスタートで始めるためのLambda×モノリス(Lambdalith)
akihisaikeda
2
390
iOSアプリで測る!名古屋駅までの 方向と距離
ryunakayama
0
150
Featured
See All Featured
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
129
19k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
52
2.4k
What's in a price? How to price your products and services
michaelherold
245
12k
Thoughts on Productivity
jonyablonski
69
4.6k
Learning to Love Humans: Emotional Interface Design
aarron
273
40k
How to Ace a Technical Interview
jacobian
276
23k
How to train your dragon (web standard)
notwaldorf
91
6k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
5
560
It's Worth the Effort
3n
184
28k
Designing for Performance
lara
608
69k
Site-Speed That Sticks
csswizardry
6
540
Transcript
("&Ͱ.JDSPTFSWJDFTͳόον 'SJOHF$P -UE )JSPLJ,PNVSBTBLJ!QFUJUWJPMFU
ࣗݾհ w খࢵ߂و )JSPLJ,PNVSBTBLJ w ΠϯλʔωοτͰ!QFUJUWJPMFU w αʔόαΠυΤϯδχΞ! w
͜ͷ͘Β͍͍͍ͩͨ4DBMBॻ͍ͯΔ
͜ͷลͷͰ͢
ࠓ͢͜ͱ͞ͳ͍͜ͱ ͢͜ͱ w ("& 5BTL2VFVF 4DBMBͰόονΛ࡞Δ w ओʹΞʔΩςΫνϟతͳઓུ ͞ͳ͍͜ͱ w
("& 5BTL2VFVFͷࡉ͔͍ w 4DBMBͷ࣮ςΫχοΫ
ࠓ͢͜ͱ͞ͳ͍͜ͱ ͢͜ͱ w ("& 5BTL2VFVF 4DBMBͰόονΛ࡞Δ w ओʹΞʔΩςΫνϟతͳઓུ ͞ͳ͍͜ͱ w
("& 5BTL2VFVFͷࡉ͔͍ w 4DBMBͷ࣮ςΫχοΫ
όονʁ
όονʁ ϓϩάϥϜ܈Λॲཧత͝ͱʹ۠Γɺ͜ͷ۠ Γຖʹॱ࣮࣍ߦͯ͠Ώ͘ॲཧͷ͜ͱ XJLJQFEJB ཁ͢ΔʹɺԿ͔͠ΒͷॲཧΛॱ࣮࣍ߦ͢Δ͜ͱ
όονͷ͋Δ͋Δ Α͋͘Δ݅ҎԼͷΑ͏ͳͷ w ఆظ࣮ߦ DSPO w σʔλΛཷΊͯ·ͱΊͯॲཧ w FUD
όονͷΘ͕·· w ىಈ࣌Ҏ֎͓͔͚ۚͨ͘ͳ͍ w ίέͨΒࣗಈͰϦτϥΠ͍ͨ͠ w σʔλ͕૿͑ͨΒΦʔτεέʔϧ͍ͤͨ͞
ͦΕɺ("&Ͱग़དྷΔΑ
("& w (PPHMF"QQ&OHJOF w ͍ΘΏΔ1BB4 w \4UBOEBSE 'MFYJCMF^&OWJSPONFOUͷछྨ w 4&੍ݶ͕ݫ͍͕͠ӡ༻͓ͤ
w '&੍ݶ͕؇͍͕ӡ༻खಈ
("& ϑϨΩγϒϧڥɺελϯμʔυڥΛิ͢ Δ͜ͱΛతͱ͍ͯ͠·͢ɻ IUUQTDMPVEHPPHMFDPNBQQFOHJOFEPDTqFYJCMFKBWBqFYJCMFGPSTUBOEBSEVTFST IMKB جຊ4&Λݕ౼͠ɺμϝͬΆ͍ͳΒ'&ʹ͢Δ
("& ϑϨΩγϒϧڥɺελϯμʔυڥΛิ͢ Δ͜ͱΛతͱ͍ͯ͠·͢ɻ IUUQTDMPVEHPPHMFDPNBQQFOHJOFEPDTqFYJCMFKBWBqFYJCMFGPSTUBOEBSEVTFST IMKB جຊ4&Λݕ౼͠ɺμϝͬΆ͍ͳΒ'&ʹ͢Δ ΠϯελϯελΠϓͰεέʔϧઓུΛม͑ΒΕΔ w BVUPNBUJDҰ൪͓ͤͰ("&ͬΆ͍ w
CBTJDόονͱ͔ w NBOVBMखӡ༻Ͱ*BB4دΓ
όονͷΘ͕·· w ىಈ࣌Ҏ֎͓͔͚ۚͨ͘ͳ͍ w ("&4&ͳΒ࣮ߦ࣌ؒ՝ۚ w ίέͨΒࣗಈͰϦτϥΠ͍ͨ͠ w w
σʔλ͕૿͑ͨΒΦʔτεέʔϧ͍ͤͨ͞ w
5BTL2VFVF
5BTL2VFVF w ("&ɺಛʹ4&Ͱ؆୯ʹ͑ΔδϣϒΩϡʔ w \1VTI 1VMM $SPO^Ωϡʔͷछྨ͋Δ w ("&αʔϏεؒͷ࿈ܞʹ1VTIΩϡʔ͕ඇৗʹศར w
DSPO͋ΔͷͰόονͷىಈ؆୯ w εςʔλε͕YYͱ͔ͳΒϦτϥΠͯ͘͠ΕΔ
5BTL2VFVF w ઃఆൺֱత୯७Ͱ؆୯ʹ࡞Մೳ w ͜Μͳײ͡ ˡϦτϥΠճͷ্ݶ ˡλεΫͷੜଘ࣌ؒ
όονͷΘ͕·· w ىಈ࣌Ҏ֎͓͔͚ۚͨ͘ͳ͍ w ("&4&ͳΒ࣮ߦ࣌ؒ՝ۚ w ίέͨΒࣗಈͰϦτϥΠ͍ͨ͠ w 5BTL2VFVFʹϦτϥΠػೳ͕͋Δ w
σʔλ͕૿͑ͨΒΦʔτεέʔϧ͍ͤͨ͞ w
όονͷΘ͕·· w ىಈ࣌Ҏ֎͓͔͚ۚͨ͘ͳ͍ w ("&4&ͳΒ࣮ߦ࣌ؒ՝ۚ w ίέͨΒࣗಈͰϦτϥΠ͍ͨ͠ w 5BTL2VFVFʹϦτϥΠػೳ͕͋Δ w
σʔλ͕૿͑ͨΒΦʔτεέʔϧ͍ͤͨ͞ w σʔλগ σʔλଟ
ΦʔτεέʔϧʹΉ͚ͯ w εέʔϧΞοϓ͍ͨ͠ w ("&ͩͱࣗಈͰग़དྷͳ͍ w εέʔϧΞτ͍ͨ͠ w ("&ϦΫΤετ૿ͰεέʔϧΞτ w
σʔλ͕૿͑ΔͱϦΫΤετ͕૿͑ΔΑ͏ ʹ࣮͢Δ
ΦʔτεέʔϧʹΉ͚ͯ w εέʔϧΞοϓ͍ͨ͠ w ("&ͩͱࣗಈͰग़དྷͳ͍ w εέʔϧΞτ͍ͨ͠ w ("&ϦΫΤετ૿ͰεέʔϧΞτ w
σʔλ͕૿͑ΔͱϦΫΤετ͕૿͑ΔΑ͏ ʹ࣮͢Δ
4DBMBͱ("&
4DBMBͱ("& w 'SJOHFͰαʔόαΠυ։ൃʹ4DBMBΛΑ͘͏ w ("&4&ͷ+BWBରԠ݄ w IUUQTDMPVEQMBUGPSNHPPHMFCMPHDPN+BWBPO"QQ&OHJOF4UBOEBSEFOWJSPONFOUJTOPXHFOFSBMMZBWBJMBCMFIUNM w 4&Ͱ+BWB͕ಈ͚4DBMBಈ͘ʂ
4DBMBͰόονॲཧ w 4DBMBඇಉظॲཧϧʔϓॲཧ͕هड़͘͢͠ɺ όονͰ͋Γ͕ͪͳॲཧΛ؆୯ʹॻ͚Δ w 'VUVSFͱ-JTUNBQͷΑ͏ͳ"1*Λ͏ val targets: List[Data] =
??? val resultFutures: List[Future[Result]] = targets map { target => Future { execute(target) } // 何か重い処理を非同期で実行 } val results: Future[List[Result]] = Future.sequence(resultFutures)
͜͜Ͱൃੜ w ("&4&γϯάϧίΞ w ඇಉظॲཧͷޮՌ͕ബ͍ w '&ʹͯ͠ϚϧνίΞʹ͢Δʜ
ίΞ͕Γͳ͚Ε ϚγϯΛ૿͍͍ͤ͡Όͳ͍
5BTL2VFVFΛͬͯίΞΛ૿͢ ϚϧνίΞγϯά ϧίΞ ϚϧνΠϯελϯε w ඇಉظॲཧΛλεΫͱͯ͠5BTL2VFVFQVU͢Δ w \ಉ͡ ผͷ^("&αʔϏεͰड͚औͬͯඇಉظॲཧ w
ϧʔϓॲཧҰͭͣͭผͷλεΫʹ͢Δ 5BTL2VFVF
େ͖ͳόονॲཧΛ খ͞ͳλεΫʹׂͯ͠ ඇಉظʹॲཧ͢Δ
·͞ʹ.JDSPTFSWJDFT
ͪͳΈʹ ("&4&ͩͱϝϞϦͷ࠷େαΠζ͕(#ͳͷͰɺ Լखʹେ͖ͳόονΛಈ͔͢ͱ؆୯ʹ00.͕ى ͖ΔͷͰɺόονΛখׂͤ͘͟͞ΔΛ͑ͳ͍ σʔλଟ
.JDSPTFSWJDFTͳόον όονॲཧΛׂͯ͠ޙଓͷॲཧ5BTL2VFVF Λͬͯܨ͙ 5BTL2VFVF ॲཧରͷ ҰཡΛऔಘ Ұͭͣͭ ॲཧ͢Δ ͞Βʹࡉ͔͘ ॲཧ͢Δ
ͪ߹Θͤͯ ΫϦʔϯΞοϓ ʜ ʜ
όονͷΘ͕·· w ىಈ࣌Ҏ֎͓͔͚ۚͨ͘ͳ͍ w ("&4&ͳΒ࣮ߦ࣌ؒ՝ۚ w ίέͨΒࣗಈͰϦτϥΠ͍ͨ͠ w 5BTL2VFVFʹϦτϥΠػೳ͕͋Δ w
σʔλ͕૿͑ͨΒΦʔτεέʔϧ͍ͤͨ͞ w ࡉ͔͘λεΫʹΓ͚ͯεέʔϧΞτ 5BTL2VFVF
·ͱΊ 4DBMBͰॻ͍ͨόονΛ ("&4&Ͱಈ͔͢ͱͤʹͳΕΔ