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
Modeling DB @ Cloud Firestore
Search
Yatima-Kagurazaka
December 16, 2017
Technology
790
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Modeling DB @ Cloud Firestore
push ID: auto ID in Realtime Database
Yatima-Kagurazaka
December 16, 2017
More Decks by Yatima-Kagurazaka
See All by Yatima-Kagurazaka
ChromeOS, Firebase - Google I\O ‘18
yatima
0
540
スマートなcronを考案した / lazy cron
yatima
1
5.8k
Firebaseざっくり / GDG Tokyo New Year Seminar 2018
yatima
0
940
Firestoreで負荷試験 (Loadroid by Rocro) / Firebase.yebisu #1
yatima
1
810
大半のウェブサービス/アプリは,Firebaseなら簡単で安いですよ
yatima
2
3.4k
Realtime Databaseのベストプラクティスっぽいやつ
yatima
0
710
Other Decks in Technology
See All in Technology
MCPをつなげて作る組織横断のAIエージェント基盤
tsubakimoto_s
0
140
ファミコンでPHPを動かす / PHP on the Famicom
tomzoh
2
640
JAWS_ICEBERG_BASECAMP
iqbocchi
2
110
reFACToring
moznion
0
250
Vポイント分析基盤におけるデータモデリング20年史
taromatsui_cccmkhd
4
750
AI_Dev_Day_製造業領域でのAI活用から見た活用の罠と成功に導く実践知.pdf
kintotechdev
0
190
GoでCコンパイラを作った話
repunit
0
160
AmplifyHostingConstructからSSRフレームワークのためのホスティング設計を考察する/amplify-hosting-construct
fossamagna
1
320
どこまでAIに任せるか 〜確率論と決定論の境界決定〜
shukob
0
500
OpenTelemetryにおけるGoのゼロコード・コンパイル時計装について #fukuokago
quiver
0
290
Oracle Base Database Service 技術詳細
oracle4engineer
PRO
15
110k
AI Agent を本番環境へ―― Microsoft Foundry × Azure Serverless で作る Enterprise-Ready な基盤
shibayan
PRO
0
240
Featured
See All Featured
How to Ace a Technical Interview
jacobian
281
24k
The SEO identity crisis: Don't let AI make you average
varn
0
520
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.9k
Building an army of robots
kneath
306
46k
Design in an AI World
tapps
1
270
Code Reviewing Like a Champion
maltzj
528
40k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.4k
Designing for Timeless Needs
cassininazir
1
400
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.6k
The agentic SEO stack - context over prompts
schlessera
0
850
Color Theory Basics | Prateek | Gurzu
gurzu
0
400
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
Transcript
Modeling DB @ Cloud Firestore Yatima Kagurazaka ://yati.ma
yati.ma/qi Yatima Kagurazaka Minkore CTO MENSAn Physician I like tech,
design, music, etc My PC: Pixelbook(+ VSCode on Kali Linux)
yati.ma/qi Agenda • What is Cloud Firestore • Structure •
Yatima Model
What is Cloud Firestore
So easy but Equal to prod. use and Inexpensive
yati.ma/qi So easy Realtime Offline mode Direct connect to clients
(like Realtime Database)
yati.ma/qi Equal to prod. use Almost no downtime Super scalability
Multi region Strong Consistency Some query support
yati.ma/qi Almost no downtime
“ yati.ma/qi Super scalability you'll get the same performance fetching
1 result from a set of 100, or 100,000,000.
Structure
Collection, Doc, Field
Collection, Doc, Field
A doc is minimum unit at communication
yati.ma/qi A doc is minimum unit Read Write Rule Update
limit: 1/sec Subcollection depth: ≦ 100
All queries are shallow
Query is available only in a collection, so far
For making full use, change a way of thinking
Yatima Model
UniFeed: Supereasy timeline system
None
yati.ma/qi UniFeed: Usage Just query at viewer self ID!
yati.ma/qi UniFeed: Limit Indexes in a document: ≦ 20,000 But
we can batch() (≦ 500)
yati.ma/qi Multi UniFeed Follower: ≦ 10,000,000 (20,000 * 500) ...Actually,
not everyone follow one Probably up to approx. 1M follower in rough estimate
yati.ma/qi Level 2 multi UniFeed Add batch() at Cloud Functions,
more scalable Follower: ≦ 5,000,000,000 (20,000 * 500 * 500) and you can go any level! your bank balance vs Google’s capacity
Twixxer should use it immediately :-P
But wait, how about doc size?
yati.ma/qi UniFeed: Doc size w/ auth.uid: < approx. 600kb (20,000
* 30 chars) w/ pushid: < approx. 300kb (20,000 * 15 chars) ...Actually, not everyone bla bla so at most 30kb, usually 300 or less (realistic!)
Firebase as a Cache (Componentized DB, Virtual DB)
yati.ma/qi General: Write
yati.ma/qi General: Read
yati.ma/qi FaaC: Write Virtual DB
yati.ma/qi FaaC: Read
yati.ma/qi FaaC: Pros Componentized DB Flux-like data flow Explicit communications
Flexibility of DB Faster view
yati.ma/qi Flux architecture
yati.ma/qi General: Data flow
yati.ma/qi FaaC: Flux-like data flow Virtual DB
yati.ma/qi General: Implicit comm. Who are you?
yati.ma/qi FaaC: Explicit comm. I know! Same component
yati.ma/qi FaaC: Cons Need to edit DB/rule occasionally (Build tool
overcome it) Fetch per component
yati.ma/qi FaaC: Background Lower cost to edit DB Component-Based Architecture
Denormalize Trend of static contents CDN
A doc is minimum unit! English is difficult for me!
Fin. ヾ(╹◡╹*)ノ゛ Throw your masakari axe at me! ://yati.ma