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
2
780
Modeling DB @ Cloud Firestore
push ID: auto ID in Realtime Database
Yatima-Kagurazaka
December 16, 2017
Tweet
Share
More Decks by Yatima-Kagurazaka
See All by Yatima-Kagurazaka
ChromeOS, Firebase - Google I\O ‘18
yatima
0
530
スマートなcronを考案した / lazy cron
yatima
1
5.7k
Firebaseざっくり / GDG Tokyo New Year Seminar 2018
yatima
0
930
Firestoreで負荷試験 (Loadroid by Rocro) / Firebase.yebisu #1
yatima
1
790
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
700
Other Decks in Technology
See All in Technology
MCPでつなぐElasticsearchとLLM - 深夜の障害対応を楽にしたい / Bridging Elasticsearch and LLMs with MCP
sashimimochi
0
160
仕様書駆動AI開発の実践: Issue→Skill→PRテンプレで 再現性を作る
knishioka
2
640
Tebiki Engineering Team Deck
tebiki
0
24k
Greatest Disaster Hits in Web Performance
guaca
0
230
CDKで始めるTypeScript開発のススメ
tsukuboshi
1
390
クレジットカード決済基盤を支えるSRE - 厳格な監査とSRE運用の両立 (SRE Kaigi 2026)
capytan
6
2.7k
日本の85%が使う公共SaaSは、どう育ったのか
taketakekaho
1
150
SREチームをどう作り、どう育てるか ― Findy横断SREのマネジメント
rvirus0817
0
230
SREじゃなかった僕らがenablingを通じて「SRE実践者」になるまでのリアル / SRE Kaigi 2026
aeonpeople
6
2.3k
All About Sansan – for New Global Engineers
sansan33
PRO
1
1.3k
ClickHouseはどのように大規模データを活用したAIエージェントを全社展開しているのか
mikimatsumoto
0
230
会社紹介資料 / Sansan Company Profile
sansan33
PRO
15
400k
Featured
See All Featured
Google's AI Overviews - The New Search
badams
0
900
My Coaching Mixtape
mlcsv
0
48
The browser strikes back
jonoalderson
0
370
The Pragmatic Product Professional
lauravandoore
37
7.1k
Tell your own story through comics
letsgokoyo
1
810
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
55
3.2k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
1
99
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
77
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
430
WCS-LA-2024
lcolladotor
0
450
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