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
冪等性を考慮したデータ連携ジョブの設計
Search
hsasakawa
April 12, 2019
Technology
6
2k
冪等性を考慮したデータ連携ジョブの設計
hsasakawa
April 12, 2019
Tweet
Share
More Decks by hsasakawa
See All by hsasakawa
Suffix Trees and Suffix Arrays
hsasakawa
0
110
行動ログ処理基盤の構築
hsasakawa
0
3.3k
Data platform development on M3 USA
hsasakawa
0
1.1k
Data Analysis Platform Development @M3, inc.
hsasakawa
0
3.3k
Other Decks in Technology
See All in Technology
Makuake*UPSIDER_LightningTalk
upsider_tech
0
200
Fin-JAWS第38回reInvent2024_全金融系セッションをライトにまとめてみた
mhrtech
1
100
Microsoft Ignite 2024 最新情報!Microsoft 365 Agents SDK 概要 / Microsoft Ignite 2024 latest news Microsoft 365 Agents SDK overview
karamem0
0
190
GitLab SelfManagedをCodePipelineのソースに設定する/SetGitLabSelfManagedtoCodePipeline
norihiroishiyama
1
120
(Simutrans) 所要時間ベース経路検索のご紹介
teamhimeh
0
100
NOSTR, réseau social et espace de liberté décentralisé
rlifchitz
0
130
20250125_Agent for Amazon Bedrock試してみた
riz3f7
2
110
CloudWatch Container Insightsを使ったAmazon ECSのリソース監視
umekou
1
120
信頼性を支えるテレメトリーパイプラインの構築 / Building Telemetry Pipeline with OpenTelemetry
ymotongpoo
9
5k
Skip Skip Run Run Run ♫
temoki
0
360
現実的なCompose化戦略 ~既存リスト画面の置き換え~
sansantech
PRO
0
160
20250129 Findy_テスト高活用化
dshirae
0
230
Featured
See All Featured
Java REST API Framework Comparison - PWX 2021
mraible
28
8.4k
Rails Girls Zürich Keynote
gr2m
94
13k
Building Flexible Design Systems
yeseniaperezcruz
328
38k
Faster Mobile Websites
deanohume
305
30k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
11
900
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
6
220
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
7
600
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
28
4.5k
Code Reviewing Like a Champion
maltzj
521
39k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
3
270
It's Worth the Effort
3n
184
28k
Visualization
eitanlees
146
15k
Transcript
ႈੑΛߟྀͨ͠ σʔλ࿈ܞδϣϒͷઃܭ Hirohito Sasakawa data engineer at M3, inc.
ΞδΣϯμ • ΤϜεϦʔͷσʔλج൫ͷߏ • σʔλ࿈ܞδϣϒͷߏ • σʔλ࿈ܞͱႈੑ • ચ͍ସ͑ •
ࠩߋ৽ • ·ͱΊ
M3ͷσʔλج൫ͷߏ 2VFSZ 2VFSZ 2VFSZ 1SPEVDUJPO … 3FQPSU … 4ZOD 4ZOD
2VFSZ #JH2VFSZ
M3ͷσʔλج൫ͷߏ 2VFSZ 2VFSZ 2VFSZ 1SPEVDUJPO … 3FQPSU … 4ZOD 2VFSZ
4ZOD #JH2VFSZ
σʔλ࿈ܞδϣϒͷߏ "QQMJDBUJPO %#T #JH2VFSZ %JHEBH &NCVML %JHEBHͱ&NCVMLͷར༻ ར༻࣮ଟ
ϫʔΫϑϩʔɺσʔλநग़ͷ࣮͕؆୯ σʔλιʔεʹԠͨ͡ϓϥάΠϯػߏ .64"ग़ுه.64"Ͱσʔλج൫ڥඋͱ,1*ϞχλϦϯ άπʔϧͷಋೖΛ࣮ࢪ͠·ͨ͠ IUUQTXXXNUFDICMPHFOUSZNVTBEFWFMPQNFOUEBUBQMBUGPSN
Embulkͷ࣮ ೖྗσʔλʹ͍ͭͯͷઃఆ %#ଓใҎ֎ ΄΅42- ग़ྗσʔλʹ͍ͭͯͷઃఆ
BigQuery্ͷσʔλ "QQMJDBUJPO %#T 4PVSDF ݩςʔϒϧͷ ίϐʔ .BSU සग़͢ΔՃΛ ༧Ίద༻ͨ͠ σʔλ
ػցֶशϓϩμΫτ͔Βͷσʔλऔಘ "QQMJDBUJPO %#T 4PVSDF .BSU NEPXOMPBEFS .-1SPEVDU #2ʹΞΫηεͯ͠ EBUBGSBNFܗࣜͰ ΠΠײ͡ʹσʔλΛ
औಘ͢Δ 1ZUIPOQBDLBHF
σʔλ࿈ܞδϣϒͷߏ (࠶ܝ) "QQMJDBUJPO %#T 4PVSDF ݩςʔϒϧͷ ίϐʔ .BSU සग़͢ΔՃΛ ༧Ίద༻ͨ͠
σʔλ
σʔλ࿈ܞδϣϒͷߏ (࠶ܝ) "QQMJDBUJPO %#T 4PVSDF ݩςʔϒϧͷ ίϐʔ .BSU සग़͢ΔՃΛ ༧Ίద༻ͨ͠
σʔλ ͜͜ͱ ͜͜Λ ָʹ͍ͨ͠
δϣϒͷࣦഊͱϦΧόϦ δϣϒ͍ΖΜͳཧ༝Ͱࣦഊ͢Δ σʔλߋ৽ͷԆ σʔλ૿Ճ 4BB4ଆͷෆ۩߹ͳͲͳͲ ϦΧόϦδϣϒͷ࠶࣮ߦ͚ͩͰࡁ·͍ͤͨ
ΦϖϨʔγϣϯϛεͷࢭ ్த·ͰՃ͞ΕͨσʔλΛআͯ͠ʜ☠ ႈͳσʔλ࿈ܞδϣϒΛ࣮͍ͨ͠
σʔλ࿈ܞύλʔϯ1: ચ͍ସ͑ "QQMJDBUJPO %#T ຖճσʔλΛ্ॻ͖͢ΔPSผςʔϒϧʹ͢Δ ΄ͱΜͲͷ߹͜ΕͰ͍͍ ႈͳͷͰϦΧόϦ୯७ʹ࠶࣮ߦͰ0,
ศརʂ
σʔλ࿈ܞύλʔϯ2: ࠩߋ৽ "QQMJDBUJPO %#T લճ࿈ܞͱͷࠩͷΈΛ࿈ܞ σʔλαΠζ͕େ͖͍ςʔϒϧͰඞཁʹͳΔ ୯७ʹ࣮͢ΔͱႈʹͳΒͳ͍
δϣϒࣦഊ࣌ͷϦΧόϦେม ೖͬͯ͠·ͬͨσʔλΛಛఆআͯ͠Γ͢ͳͲ
σʔλ࿈ܞύλʔϯ2: ࠩߋ৽ "QQMJDBUJPO %#T લճ࿈ܞͱͷࠩͷΈΛ࿈ܞ σʔλαΠζ͕େ͖͍ςʔϒϧͰඞཁʹͳΔ ୯७ʹ࣮͢ΔͱႈʹͳΒͳ͍
δϣϒࣦഊ࣌ͷϦΧόϦେม ೖͬͯ͠·ͬͨσʔλΛಛఆআͯ͠Γ͢ͳͲ
ႈͳࠩߋ৽ (1/2) "QQMJDBUJPO %#T લճͷςʔϒϧ
ႈͳࠩߋ৽ (1/2) "QQMJDBUJPO %#T લճͷςʔϒϧ લճͷςʔϒϧ Λίϐʔ 4UFQ
ႈͳࠩߋ৽ (1/2) "QQMJDBUJPO %#T લճͷςʔϒϧ લճͷςʔϒϧ Λίϐʔ 4UFQ લճ͔Βͷ ࠩσʔλΛநग़
4UFQ
ႈͳࠩߋ৽ (2/2) "QQMJDBUJPO %#T લճͷςʔϒϧ ྆ऀΛ݁߹ͨ͠ ςʔϒϧΛ࡞ 4UFQ
ႈͳࠩߋ৽ (2/2) "QQMJDBUJPO %#T લճͷςʔϒϧ ྆ऀΛ݁߹ͨ͠ ςʔϒϧΛ࡞ 4UFQ 4UFQ͔Β࠶࣮ߦͰ0, ඞཁ͕͋ΕɺͲͷϑΣʔζ͔Β
ͰΓͤΔ ϦΧόϦ
ࣦഊ࣌ͷϦΧόϦ ϦΧόϦ࠶࣮ߦͰ0, ඞཁʹԠͯ͡ҙͷ4UFQ͔Βͷ࠶࣮ߦ͕Մೳ 4UFQ·Ͱਖ਼ৗऴ͍ྃͯ͠ΔͷͰɺ4UFQ͔Β࠶࣮ߦͳͲ ͖ͬ͞ௐͯͨΒҎԼͷࢿྉͰղઆ͞Ε͍ͯ·ͨ͠ʜ ;0;0508/ͷ%8)Λ3FETIJGU͔Β#JH2VFSZʹ ͓Ҿӽͨ͠͠
IUUQTTQFBLFSEFDLDPNTIJP[BLJNPWJOH[P[PUPXOEXIGSPNSFETIJGUUPCJHRVFSZ
ҙ ͜ͷख๏ͷҙࣄ߲ ͦͦσʔλ͕ଟ͗ͯ͢ɺ͜ͷख๏ΛͱΔͷͰաڈͷ ςʔϒϧΛอ͓࣋ͯ͘͠ͷݱ࣮తͰͳ͍ աڈͷ͋Δ࣌ʹΔʹσʔλͷ࣋ͪํΛ͢Δ ඞཁ͕͋Δ FHCJUFNQPSBMEBUBNPEFMJOH
ૢ࡞ཤྺ࣌ࢦఆΞΫηεͷ࣮ݱ#J5FNQPSBM%BUB.PEFMͷ࣮ફ IUUQTTQFBLFSEFDLDPNGJNQMFNFOUJOHDPNNBOEIJTUPSZBOEUFNQPSBMBDDFTT
·ͱΊ ΤϜεϦʔͷσʔλج൫ͱ࿈ܞδϣϒʹ͍ͭͯফԽ #JH2VFSZXJUI %JHEBH &NCVML Ғେ ႈͳσʔλ࿈ܞδϣϒͷઃܭํ๏Λհ
ચ͍ସ͑ ࠩߋ৽