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
DigdagでETL処理をする
Search
tosametal
July 19, 2019
Technology
0
4.1k
DigdagでETL処理をする
データとML周辺エンジニアリングを考える会 #2
https://data-engineering.connpass.com/event/136756/
#data_ml_engineering
tosametal
July 19, 2019
Tweet
Share
More Decks by tosametal
See All by tosametal
マイクロアドのアドテクを支える技術
tosametal
1
190
Qiita Career Meetup for Server Side Engineers
tosametal
4
4.2k
Other Decks in Technology
See All in Technology
NLPコロキウム20251022_超効率化への挑戦: LLM 1bit量子化のロードマップ
yumaichikawa
1
190
Building a cloud native business on open source
lizrice
0
170
組織改革から開発効率向上まで! - 成功事例から見えたAI活用のポイント - / 20251016 Tetsuharu Kokaki
shift_evolve
PRO
2
230
RDS の負荷が高い場合に AWS で取りうる具体策 N 連発/a-series-of-specific-countermeasures-available-on-aws-when-rds-is-under-high-load
emiki
7
4.5k
「REALITY」3Dアバターシステムの7年分の拡張の歴史について
gree_tech
PRO
0
130
「魔法少女まどか☆マギカ Magia Exedra」の多様なバトルの開発を柔軟かつ効率的に実現するためのPure C#とUnityの分離について
gree_tech
PRO
0
250
Claude Code Subagents 再入門 ~cc-sddの実装で学んだこと~
gotalab555
10
17k
OCIjp_Oracle AI World_Recap
shinpy
1
160
OpenTelemetry が拡げる Gemini CLI の可観測性
phaya72
2
1.9k
初めてのDatabricks Apps開発
taka_aki
1
240
フレームワークを意識させないワークショップづくり
keigosuda
0
240
Contract One Engineering Unit 紹介資料
sansan33
PRO
0
9k
Featured
See All Featured
Balancing Empowerment & Direction
lara
5
700
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
How STYLIGHT went responsive
nonsquared
100
5.8k
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
Rebuilding a faster, lazier Slack
samanthasiow
84
9.2k
Building an army of robots
kneath
305
46k
Art, The Web, and Tiny UX
lynnandtonic
303
21k
Navigating Team Friction
lara
190
15k
A better future with KSS
kneath
239
18k
Intergalactic Javascript Robots from Outer Space
tanoku
272
27k
Keith and Marios Guide to Fast Websites
keithpitt
411
23k
Transcript
DigdagͰETLॲཧΛ͢Δ σʔλͱMLपลΤϯδχΞϦϯάΛߟ͑Δձ #2 2019.07.19 தᠳଠ(@tosametal) גࣜձࣾϚΠΫϩΞυ ΞϓϦέʔγϣϯΤϯδχΞ
ϚΠΫϩΞυʹ͓͚Δػցֶश ࠂ৴γεςϜʹ͓͚ΔCTR༧ଌɺCVR༧ଌɺෆਖ਼ΫϦοΫͷݕग़ͳͲ
ϩάج൫ͷߏ Imp Server Click Server RTB Server Kafka Hadoop (σʔλΣΞϋε)
Digdag Hadoop (ੳج൫)
ϩάج൫ͷߏ Imp Server Click Server RTB Server Kafka Hadoop (σʔλΣΞϋε)
Digdag Hadoop (ੳج൫) at least once ϢχʔΫͳIDʹΑΔॏෳഉআ sessionͰཧ ႈͳॲཧ Kafka secondaryͰ kafkaΛࢦఆ jsonܗࣜͷ ߏԽσʔλ
Digdagͱ digϑΝΠϧʹએݴతʹϫʔΫϑϩʔΛهड़ Workflow as code εέδϡʔϧ࣮ߦɺϦΧόϦ UI͔Βਐḿͷ֬ೝ࠶࣮ߦ͕Մೳ ΦϖϨʔλΛࣗ࡞Մೳ
PostgreSQL ࣮ߦཤྺͳͲΛอଘ Task͝ͱʹhadoopΫϥΠΞϯτ ͱͳΔίϯςφΛ্ཱͪ͛Δ εέʔϧΞτՄೳ όον࣮ߦج൫ߏ
ෳࡶͳґଘؔΛ੍ޚͭͭ͠ ϫʔΫϑϩʔͷՄಡੑΛอͭ
ϓϩδΣΫτΛػೳ୯ҐͰׂ ϓϩδΣΫτͱ In Digdag, workflows are packaged together with other
files used in the workflows. The files can be anything such as SQL scripts, Python/Ruby/Shell scripts, configuration files, etc. This set of the workflow definitions is called project. ެࣜυΩϡϝϯτ(http://docs.digdag.io/)ΑΓҾ༻ ϚΠΫϩΞυͰݱࡏ60ݸͷϓϩδΣΫτ͕ಈ͍͍ͯΔ
ϓϩδΣΫτͷґଘؔ schedule: daily>: 12:00:00 +task1: _parallel: true +subtask1: call>: subtask1.dig
+subtask2: call>: subtask2.dig +task2: echo>: task finished successfully •callΦϖϨʔλΛ͏͜ͱͰdigϑΝΠϧ ͷׂΛߦ͏͜ͱ͕Մೳ •requireΛ͏ͱ͏গ͠ෳࡶͳDAGͷ දݱՄೳ subtask1 subtask2 task2
ϓϩδΣΫτؒͷґଘؔ ϓϩδΣΫτA ϓϩδΣΫτB ଞͷϓϩδΣ Ϋτͷ݁ՌΛݟΔ ͜ͱग़དྷͳ͍
ϓϩδΣΫτؒͷґଘؔ +touch_task: s3_touch>: bucket/flag/fileX +wait_task: s3_wait>: bucket/flag/fileX ϓϩδΣΫτB ϓϩδΣΫτA fileX
ࣗ࡞ΦϖϨʔλ ࢀߟ:https://github.com/ tosametal/digdag-plugins
ͦͷଞ ϫʔΫϑϩʔશମΛႈʹ͢Δ • hiveΫΤϦinsert overwrite • distcpoverwrite deleteΦϓγϣϯΛࢦఆ ϦτϥΠΛઃఆ͢Δ •
exponential interval
·ͱΊ • ϓϩδΣΫτංେԽ͠ͳ͍Α͏ʹػೳͰׂ • ϓϩδΣΫτؒͷґଘs3_waitͰղܾ • Α͘͏ػೳϓϥάΠϯΛ࡞Ζ͏
None