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
[第2回 Azure Cosmos DB 勉強会] Data modelling and pa...
Search
SATO Naoki (Neo)
September 13, 2020
Technology
0
920
[第2回 Azure Cosmos DB 勉強会] Data modelling and partitioning in Azure Cosmos DB (Azure Cosmos DB でのデータモデリングとパーティション分割)
https://satonaoki.wordpress.com/2020/09/13/jcdug-cosmos-db-data-modeling/
SATO Naoki (Neo)
September 13, 2020
Tweet
Share
More Decks by SATO Naoki (Neo)
See All by SATO Naoki (Neo)
Build enterprise-grade AI agents with Azure AI Agent Service
satonaoki
1
350
Microsoft Build 2024 Updates
satonaoki
0
290
LLMOps with Azure Machine Learning prompt flow
satonaoki
1
750
マルチクラウド時代の企業における生成AIとデータベースの関係 (Oracle Technology Day)
satonaoki
0
900
Microsoft Copilot, your everyday AI companion (Machine Learning 15minutes! Broadcast #82)
satonaoki
0
1.2k
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machine Learning 15minutes! Broadcast #78)
satonaoki
2
1.2k
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
satonaoki
1
1.1k
30分でわかるマイクロサービスアーキテクチャ 第2版
satonaoki
9
6.9k
[Machine Learning 15minutes! Broadcast #67] Azure AI - Build 2022 Updates and more...
satonaoki
0
370
Other Decks in Technology
See All in Technology
そもそも AWS FIS について。なぜ今 FIS のハンズオンなのか?などなど
kazzpapa3
2
120
20150719_Amazon Nova Canvas Virtual try-onアプリ 作成裏話
riz3f7
0
140
M365アカウント侵害時の初動対応
lhazy
7
4.6k
Talk to Someone At Delta Airlines™️ USA Contact Numbers
travelcarecenter
0
170
株式会社島津製作所_研究開発(集団協業と知的生産)の現場を支える、OSS知識基盤システムの導入
akahane92
1
1.2k
データ駆動経営の道しるべ:プロダクト開発指標の戦略的活用法
ham0215
2
230
スプリントゴール未達症候群に送る処方箋
kakehashi
PRO
1
200
怖くない!GritQLでBiomeプラグインを作ろうよ
pal4de
1
120
今日からあなたもGeminiを好きになる
subaruhello
1
590
AWS表彰プログラムとキャリアについて
naoki_0531
0
100
Amazon CloudWatchのメトリクスインターバルについて / Metrics interval matters
ymotongpoo
3
220
Shadow DOMとセキュリティ - 光と影の境界を探る / Shibuya.XSS techtalk #13
masatokinugawa
0
280
Featured
See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
181
54k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
21
1.3k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
229
22k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.9k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
31
1.3k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
109
19k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
44
2.4k
Java REST API Framework Comparison - PWX 2021
mraible
31
8.7k
Embracing the Ebb and Flow
colly
86
4.8k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
30
2.2k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
Six Lessons from altMBA
skipperchong
28
3.9k
Transcript
Data modelling and partitioning in Azure Cosmos DB (Azure Cosmos
DB でのデータ モデリングとパーティション分割)
Session's objectives
What is Azure Cosmos DB? Non-relational and horizontally scalable
What is Azure Cosmos DB? horizontally scalable
What is Azure Cosmos DB? non-relational
What is Azure Cosmos DB? non-relational and horizontally scalable
So is Azure Cosmos DB suitable for relational workloads?
Let's look at a concrete example
Identifying the operations we have to serve
Now let's implement this model on Azure Cosmos DB!
Starting with the Customer entity
Starting with the Customer entity
To embed or to reference?
To embed or to reference? - - - - -
-
Our first entity: Customer
Customer customers PK: ?
What is partitioning?
What is partitioning? logical partitions
What is partitioning? Andrew Theo Mark Tim Deborah Luis
What is partitioning? Max size: 20 GB Max size: 2
MB
What is partitioning?
What is partitioning?
What is partitioning?
What is partitioning? Andrew Theo Mark Tim Deborah Luis SELECT
* FROM c WHERE c.username = 'Mark' our partition key
What is partitioning? Andrew Theo Mark Tim Deborah Luis SELECT
* FROM c WHERE c.favoriteColor = 'orange' ?
Choosing a partition key for customers customers PK: ?
Choosing a partition key for customers customers PK: ?
Choosing a partition key for customers customers PK: id
Choosing a partition key for customers customers PK: id
Next: product categories
Product categories
Product categories productCategories PK: ?
Product categories productCategories PK: ? SELECT * FROM c
Product categories productCategories PK: type
Next: product tags
Product tags
Product tags productTags PK: ?
Product tags productTags PK: ?
Product tags productTags PK: type
Next: products
Products
Products
Products products PK: ?
Products products PK: ? CategoryA CategoryC CategoryB SELECT * FROM
c WHERE c.categoryId = 'CategoryA'
Products products PK: categoryId category name? tag names?
Products: how to return category and tag names? products SELECT
* FROM c WHERE c.categoryId = 'CategoryA' productCategories SELECT c.name FROM c WHERE c.id = 'CategoryA' productTags SELECT * FROM c WHERE c.id IN ('<tagId1>', '<tagId2>', '<tagId3>')
Introducing denormalization
Products: denormalizing category and tag names products PK: categoryId
Products: keeping everything in sync productCategories productTags products
Cosmos DB's change feed
Products: keeping everything in sync productCategories productTags products
Next: sales orders
Sales orders
Sales orders
Sales orders salesOrders PK: ?
Sales orders salesOrders PK: ?
Sales orders salesOrders PK: ? CustomerA CustomerC CustomerB SELECT *
FROM c WHERE c.customerId = 'CustomerA'
Sales orders salesOrders PK: customerId
Sales orders salesOrders PK: customerId customers PK: id
Mixing entities in the same container?
Sales orders salesOrders PK: customerId customers PK: id
Sales orders: mixing with customers customers PK: id
Sales orders: mixing with customers customers PK: customerId
Sales orders: mixing with customers customers PK: customerId
Sales orders: mixing with customers CustomerA CustomerC CustomerB customer sales
orders customers PK: customerId
Sales orders customers PK: customerId SELECT * FROM c WHERE
c.customerId = 'CustomerA' AND c.type = 'salesOrder'
Sales orders customers PK: customerId
Denormalizing the count of sales orders per customer
Denormalizing the count of sales orders per customer
Denormalizing the count of sales orders per customer CustomerA CustomerC
CustomerB customer sales orders customers PK: customerId
Denormalizing the count of sales orders per customer CustomerA CustomerC
CustomerB update the customer add a sales order customers PK: customerId
Denormalizing the count of sales orders per customer CustomerA CustomerC
CustomerB update the customer add a sales order
Sales orders customers PK: customerId SELECT * FROM c WHERE
c.type = 'customer' ORDER BY c.salesOrderCount DESC
Our final design customers PK: customerId productCategories PK: type productTags
PK: type products PK: categoryId
Our final design, optimized! customers PK: customerId productMeta PK: type
products PK: categoryId
Key takeaways
Going further https://docs.microsoft.com/azure/cosmos-db/modeling-data https://docs.microsoft.com/azure/cosmos-db/how-to-model-partition-example https://devblogs.microsoft.com/cosmosdb/data-modeling-and-partitioning-for-relational-workloads/ https://github.com/AzureCosmosDB/labs/blob/master/readme.md https://github.com/AzureCosmosDB/labs/blob/master/decks/Data-Modeling.pptx