MongoDB Schema Design at MongoUK 2010

MongoDB Schemas: Data as Documents MongoUK (#mongouk) Kyle Banker (@hwaet) June 18, 2010 10gen http://www.mongodb.org/ Friday, June 18, 2010

The “good kind” of heartbreak... Friday, June 18, 2010

Friday, June 18, 2010

In this talk: Friday, June 18, 2010

In this talk: 1. Intro. Principles. Questions. Friday, June 18, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents Friday, June 18, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents 3. Simplifying relations Friday, June 18, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents 3. Simplifying relations 4. Embed vs. Reference Friday, June 18, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents 3. Simplifying relations 4. Embed vs. Reference 5. E-‐commerce Friday, June 18, 2010

1. MongoDB Friday, June 18, 2010

MongoDB in Production Friday, June 18, 2010

try.mongodb.org Friday, June 18, 2010

Design goals... Friday, June 18, 2010

key-‐value stores Friday, June 18, 2010

key-‐value stores relational databases Friday, June 18, 2010

Data as documents Friday, June 18, 2010

An analogy... Friday, June 18, 2010

http://www.ﬂickr.com/photos/talkephotography/3968348 Friday, June 18, 2010

http://www.ﬂickr.com/photos/pjh/187636444/ Friday, June 18, 2010

http://www.ﬂickr.com/photos/anirudhkoul/3483995761 Friday, June 18, 2010

http://www.ﬂickr.com/photos/grytr/300247454/ Friday, June 18, 2010

What’s the basic unit of data? Friday, June 18, 2010

What’s the basic unit of data? Blobs? Friday, June 18, 2010

What’s the basic unit of data? Blobs? Rows? Friday, June 18, 2010

What’s the basic unit of data? Blobs? Rows? Columns? Friday, June 18, 2010

What’s the basic unit of data? Blobs? Rows? Columns? Documents? Friday, June 18, 2010

How can we operate on that data? Friday, June 18, 2010

How can we operate on that data? Dynamic Queries Friday, June 18, 2010

How can we operate on that data? Dynamic Queries Secondary Indexes Friday, June 18, 2010

How can we operate on that data? Dynamic Queries Secondary Indexes Atomic Updates Friday, June 18, 2010

How can we operate on that data? Dynamic Queries Secondary Indexes Atomic Updates Map-‐Reduce Friday, June 18, 2010

$or Friday, June 18, 2010

What are our application access patterns? Friday, June 18, 2010

What are our application access patterns? What’s the read / write ratio? Friday, June 18, 2010

What are our application access patterns? What’s the read / write ratio? How is data updated? Friday, June 18, 2010

What are our application access patterns? What’s the read / write ratio? How is data updated? What kinds of queries? Friday, June 18, 2010

2. Rich Documents Friday, June 18, 2010

What can we do with rich documents? Friday, June 18, 2010

Queries Friday, June 18, 2010

Atomic Updates Friday, June 18, 2010

Map-‐Reduce Friday, June 18, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Friday, June 18, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Holistic representation. Friday, June 18, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Holistic representation. Documents easily manipulated by MongoDB Friday, June 18, 2010

Rich document tradeoﬀs: The Normalization / Denormalization Question Friday, June 18, 2010

Rich document tradeoﬀs: The Normalization / Denormalization Question Certain queries aren’t possible. Friday, June 18, 2010

3. Simpliﬁed Relations Friday, June 18, 2010

Tags Friday, June 18, 2010

Votes Friday, June 18, 2010

Adding a vote Friday, June 18, 2010

Finding all votes for a given user Friday, June 18, 2010

4. Embed vs. Reference Friday, June 18, 2010

post -‐> many comments Relational model: post comments post_id user_id tree attrs Friday, June 18, 2010

1. Embedded Document Friday, June 18, 2010

2. Embedded and Nested Document Friday, June 18, 2010

3. Normalized Collection Friday, June 18, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. Friday, June 18, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. 2. Embedded & nested document Complex hierarchies Document appears with parent Friday, June 18, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. 2. Embedded & nested document Complex hierarchies Document appears with parent 3. Normalized Maximum ﬂexibility. Simpliﬁed global updates. Friday, June 18, 2010

5. E-‐commerce Friday, June 18, 2010

Products As rich documents Friday, June 18, 2010

Products and Categories Using indexed array keys Friday, June 18, 2010

Products and Categories Friday, June 18, 2010

Products and Categories (Alternative) Friday, June 18, 2010

Wish lists As embedded documents Friday, June 18, 2010

Product reviews Normalized, rich documents Friday, June 18, 2010

6. Resources & Summary Friday, June 18, 2010

MongoDB Metamorphosis Friday, June 18, 2010

MongoDB Metamorphosis 1. Think about design questions Friday, June 18, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents Friday, June 18, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents 3. Simplify relations Friday, June 18, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents 3. Simplify relations 4. Embed vs. Reference Friday, June 18, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents 3. Simplify relations 4. Embed vs. Reference 5. E-‐commerce Friday, June 18, 2010

Thank You http://www.mongodb.org/ Friday, June 18, 2010

MongoDB Schema Design at MongoUK 2010

by Kyle Banker

Accessibility

Categories

Upload Details

Usage Rights

3 Embeds 12

Statistics

MongoDB Schema Design at MongoUK 2010 Presentation Transcript

http://www.slideshare.net	8
http://lanyrd.com	2
http://www.mefeedia.com	2