Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
BigQuery Schema Migration #bq_sushi
Search
Naotoshi Seo
April 08, 2016
Technology
6.2k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
BigQuery Schema Migration #bq_sushi
Naotoshi Seo
April 08, 2016
Transcript
34 slides
#JH2VFSZͷςʔϒϧΛ .JHSBUF ΧϥϜՃɺআɺ ܕมߋ ͢Δ 2016/04/08 @sonots #bq_sushi 3
ࣗݾհ • ඌར @sonots • DeNA ੳج൫ • Fluentd ίϛολ
• Ruby ίϛολ • ࠷ۙ embulk ۀ • embulk-output-bigquery • embulk-filter-column, etc
• 4݄23ൃചʂ • σʔλऩूಛू • Fluentd / Embulk • DeNA
/ Cookpad ͷࣄྫ
ΞδΣϯμ • ฐࣾͰͷ BigQuery ར༻ • εΩʔϚมߋͷඞཁੑ • BigQuery ʹ͓͚ΔεΩʔϚมߋͷࠔ͞
• εΩʔϚมߋͷઓུ
ฐࣾͰͷ BigQuery ར༻ • West (US) Ͱ̍Ҏ্લ͔Βར༻ • JP ͰϘνϘν͍࢝Ί͍ͯΔ
• σʔλҠߦπʔϧ࡞ͬͯΔ • hdfs2bigquery • vertica2bigquery • bigquery2hdfs • bigquery2vertica
ฐࣾͰͷੳۀ • σʔλҠߦ Hadoop/Vertica ӡ༻ج൫νʔϜ • ੳۀΞφϦετ͕ߦ͏ • BigQuery ʹΫΤϦΛ͛ΔͷΞφϦετ
εΩʔϚมߋͷඞཁੑ(1) • ϩάʹΧϥϜ͕Ճ͞Εͨ • ͬͺΓΧϥϜ͕ফ͞Εͨ • ΧϥϜͷܕΛؒҧ͑ͨ • INTEGER ͬΆ͍ͱࢥͬͯͨΒ
11,12 Έ͍ͨͳ ͕ೖͬͯΔߦ͕͋ͬͯ STRING ͡Όͳ͍ͱμϝ ͩͬͨͱ͔͋Δ͋Δ
εΩʔϚมߋͷඞཁੑ(2) • BigQuery ςʔϒϧ໊ϕετϓϥΫςΟε • ςʔϒϧ໊લஔࢺ_ˋY%m%d • ຖ৽͘͠ςʔϒϧΛ࡞Δ • ຖεΩʔϚ࠶ఆٛͷνϟϯε͕͋Δ
• εΩʔϚมߋ͠ͳͯ͘ྑ͍͡ΌΜʁ
εΩʔϚมߋͷඞཁੑ(3) • ̎ͭͷςʔϒϧͰΧϥϜͷܕ͕ҧ͏ͱΤϥʔʂ SELECT name FROM TABLE_DATE_RANGE(data.people_, TIMESTAMP('2014-03-26'), TIMESTAMP('2014-03-27')) WHERE
age >= 35 • Ωϟετ͢Δͱ͍͏ख͋Δ͕ɺੳ࣌ଞͷ͜ ͱʹ಄Λ͍͍ͨͷͰආ͚͍ͨ
εΩʔϚมߋπʔϧͷఏڙ • ͋Δ͖࢟(εΩʔϚ)Λఏࣔ͢Δͱɺ • ΧϥϜͷՃ • ΧϥϜͷআ • ΧϥϜͷܕมߋ •
Λࣗಈผͯ͠ɺεΩʔϚมߋͰ͖ΔΑ͏ʹ ͍ͯ͋͛ͨ͠
BigQuery ʹ͓͚Δ εΩʔϚมߋͷࠔ͞
εΩʔϚมߋͷࠔ • BigQuery ʹ ALTER TABLE ͕ͳ͍ • ΧϥϜՃͷAPI͋Δ •
ΧϥϜআɺܕมߋͷ API ͕ͳ͍ Ͳ͏͢Δ͔ʁͱ͍͏
ΧϥϜՃ • patch_table (or update_table) API ͰͰ͖Δ client.patch_table(project_id, dataset_id, table_id,
{ schema: { fields: [ {name:"time", type:"TIMESTAMP", mode:"NULLABLE"}, {name:"id", type:"INTEGER", mode:"NULLABLE"}, ] } }) google-api-ruby-client
ΧϥϜՃ(ҙ) • ͢Ͱʹ͋ΔεΩʔϚ + Ճ͢ΔΧϥϜ • get_table ͰεΩʔϚΛऔಘͯ͠Ϛʔδͯ͛͠Δ response =
get_table(project_id, dataset_id, table_id) columns = response.schema.fields.map {|col| col.to_h } columns << {name:"id", type:"INTEGER", mode:"NULLABLE"} google-api-ruby-client
patch tables ͷ੍ • Ճͨ͠ΧϥϜඌʹՃ͞ΕΔ • ՃͰ͖Δͷ NULLABLE ·ͨ REPEATED
͚ͩ • mode: REQUIRED ͳΧϥϜ͕ՃͰ͖ͳ͍ • มߋ REQUIRED => NULLABLE ͚ͩ • NULLABLE Λ REQUIRED ʹͰ͖ͳ͍ • REPEATED ʹͰ͖ͳ͍
ΧϥϜআɺܕมߋ
ΧϥϜআɺܕมߋ • ̎ͭͷઓུ • (1) export & filter & load
• (2) select & copy
(1) export & filter & load • gcs ʹ export
• embulk ΒͳʹΒͰ download ͭͭ͠Λม ͢Δ filtering ॲཧΛߦ͏ • BQ ʹ load ͠ͳ͓͢
(1) export & filter & load • ར • ՝ۚ͞Εͳ͍
• ܽ • ҰϩʔΧϧʹμϯϩʔυ্ͯ͛͢͠ ͜ͱʹͳΔͷͰඇৗʹ͍ɻɻɻ
(2) select & copy • insert_job API ʹ query ͱ
destination_table Λࢦఆ insert_job(project_id, { configuration: { query: { query:"SELECT ... FROM [...]", destination_table: { dataset_id: dataset_id, table_id: table_id }, } } }, {})
(2) select & copy ͷྫ SELECT STRING(business_id) AS business_id, STRING(full_address)
AS full_address, schools, BOOLEAN(open) AS open, FROM [dataset_id.table_id] • ΩϟετͰܕมߋ • ੍: ܕมߋ͢Δͱ mode: NULLABLE ʹͳΔ • ࢦఆ͠ͳ͔ͬͨΧϥϜআ͞ΕΔ
(2) select & copy • ར • ͍ • ܽ
• ՝ۚ͞ΕΔ
(2) select & copy Λ࠾༻ (1) export & filter &
load ΔͳΒ HDFS͔ΒσʔλLoadΓͯ࣌ؒ͋͠·ΓมΘΒͳ͍ ...
Further dive into select & copy
RECORD ܕͷΩϟετํ๏ SELECT INTEGER(votes.funny) AS votes.funny, INTEGER(votes.useful) AS votes.useful, INTEGER(votes.cool)
AS votes.cool, FROM [dataset_id.table_id] • υοτ۠ΓͰࢦఆ͢Δ
select & copy ͰͷΧϥϜՃ SELECT column1, INTEGER(NULL) AS column2, INTEGER(NULL)
AS (record.column3), FROM [dataset_id.table_id] • INTEGER ܕͷ column2 ΛՃ • RECORD ܕͷ record ΧϥϜͰͳ͘ record_column3 ͱ͍͏໊લͷΧϥϜ͕Ͱ͖Δɻɻɻ • patch table API ͬͨ΄͏͕ྑͦ͞͏ɻɻɻ
mode: REPEATED ΧϥϜͷࢦఆ • SELECT ͰࢦఆͰ͖Δ REPEATED ΧϥϜ̍ͭͩ ͚ɺͳͲͷ੍͕͋ͬͨΓ •
SELECT ͢Δͱߦ͕૿͑ΔͷͰɺREPEATED Χϥ Ϝͷͳ͍ߦ͕૿͑ͨςʔϒϧΛ࡞Δ͜ͱʹͳΔ • Ͳ͏ݫͦ͠͏
Atomic ͳςʔϒϧͷஔ • ௨ৗͷઓུ • มલͷςʔϒϧ => มޙ • atomic
ʹ swap • BigQuery ʹ rename ͕ͳ͍ʂແཧʂʁ • copy ͷ destination_table Λࣗࣗʹࢦఆ • atomic ʹ swap ͞ΕΔʂʂ
·ͱΊ
·ͱΊΔͱ • ΧϥϜͷՃ͕ඞཁͳ߹ɺ·ͣ patch table • ΧϥϜͷআɺ·ͨܕมߋ͕ඞཁͳ߹ɺ ͔ͦ͜Β͞Βʹ select &
copy • copyઌࣗࣗΛࢦఆ͢Δ͜ͱͰ atomic ʹ swap Ͱ͖Δ
੍ • mode: REPEATED ΧϥϜΛѻ͑ͳ͍ • mode: NULLABLE ΧϥϜͷΈՃՄೳ •
ܕมߋ͢Δͱ mode: NULLABLE ʹͳΔ
https://github.com/sonots/bigquery_migration/
͍ํ require 'bigquery_migration' config = { json_keyfile: '/path/to/your-project-000.json' dataset: 'your_dataset_name'
table: 'your_table_name' } columns = [ { name: 'string', type: 'STRING' }, { name: 'record', type: 'RECORD', fields: [ { name: 'integer', type: 'INTEGER' }, { name: 'timestamp', type: 'TIMESTAMP' }, ] } ] migrator = BigqueryMigration.new(config) migrator.migrate_table(columns: columns)
• 4݄23ൃചʂ • σʔλऩूಛू • Fluentd / Embulk • DeNA
/ Cookpad ͷࣄྫ
More Decks by Naotoshi Seo
See All by Naotoshi Seo
ZOZOTOWNリプレイス2020
sonots
5
40k
Red Chainer and Cumo: Practical Deep Learning in Ruby at RubyKaigi 2019
sonots
1
4.9k
Introduction of Cumo, and Integration to Red Chainer
sonots
1
1.3k
Implementation of Cumo, a CUDA-aware version of Ruby/Numo
sonots
1
2.1k
Fast Numerical Computing and Deep Learning in Ruby with Cumo
sonots
0
10k
CuPy improvments around memory
sonots
3
1.8k
DeNA AIシステム部におけるクラウドを活用した機械学習基盤の構築
sonots
4
6.5k
Triglav - Data Driven Workflow Tool
sonots
1
4.4k
DeNA流データエンジニアリングの極意
sonots
17
13k
Other Decks in Technology
See All in Technology
大江戸Ruby会議でデータベース クライアントの話をするのは 間違っているだろうか
yahonda
1
120
Datadog の権限統制 〜Org 統合に向けて調べた注意点 / JDDUG-Meetup_24
visional_engineering_and_design
1
130
Shared Signals Framework 仕様解説
oidfj
0
430
ラクスル会社紹介資料|エンジニア向け / RAKSUL Introduction for Engineers
raksulrecruiting
0
110
AWS Quick 入門 | 目指せ Quick マスター 01
inariku
PRO
2
340
顧客合意を取りながら進めるAWSコスト削減の実践
optim
0
170
[NW-JAWS DAY]「うちのAWS、インターネット出られないんで」― AWS外の自社サービスをPrivateLinkでシュッと公開する方法
ykimi
2
300
An Introduction to Context Ontology Accelerator (teaching AI agents what your data means)
inariku
PRO
1
250
bpf_arenaとstruct_opsを使うのが難しかった話
masu_mi
0
240
狙われているAPIの脆弱性!今こそ手をつけるべき根本的な対策とは?
nagix
0
130
JAWS_FESTA2026_オンプレ-AWS間プロキシサーバの移行_性能_障害対応で得た実践ノウハウ_高島一晃.pdf
tkazuaki0820
1
120
Gemma4 Hands-on at Nagoya
tsho
0
100
Featured
See All Featured
Mobile First: as difficult as doing things right
swwweet
225
10k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.6k
Test your architecture with Archunit
thirion
2
2.5k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
2
2.1k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
470
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
The Cult of Friendly URLs
andyhume
79
7.1k
[SF Ruby Conf 2025] Rails X
palkan
3
1.5k
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
1
600
GitHub's CSS Performance
jonrohan
1033
470k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
3.1k