MongoDB Schema Design - MongoFR

MongoDB Schemas: Data as Documents MongoFR (#mongofr) Kyle Banker (@hwaet) June 21, 2010 10gen http://www.mongodb.org/ Monday, June 21, 2010

The “good kind” of heartbreak... Monday, June 21, 2010

Monday, June 21, 2010

In this talk: Monday, June 21, 2010

In this talk: 1. Intro. Principles. Questions. Monday, June 21, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents Monday, June 21, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents 3. Simplifying relations Monday, June 21, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents 3. Simplifying relations 4. Embed vs. Reference Monday, June 21, 2010

In this talk: 1. Intro. Principles. Questions. 2. Using rich documents 3. Simplifying relations 4. Embed vs. Reference 5. E-‐commerce Monday, June 21, 2010

1. MongoDB Monday, June 21, 2010

MongoDB in Production Monday, June 21, 2010

try.mongodb.org Monday, June 21, 2010

Design goals... Monday, June 21, 2010

key-‐value stores Monday, June 21, 2010

key-‐value stores relational databases Monday, June 21, 2010

Data as documents Monday, June 21, 2010

An analogy... Monday, June 21, 2010

http://www.ﬂickr.com/photos/talkephotography/3968348 Monday, June 21, 2010

http://www.ﬂickr.com/photos/pjh/187636444/ Monday, June 21, 2010

http://www.ﬂickr.com/photos/anirudhkoul/3483995761 Monday, June 21, 2010

What’s the basic unit of data? Monday, June 21, 2010

What’s the basic unit of data? Blobs? Monday, June 21, 2010

What’s the basic unit of data? Blobs? Rows? Monday, June 21, 2010

What’s the basic unit of data? Blobs? Rows? Columns? Monday, June 21, 2010

What’s the basic unit of data? Blobs? Rows? Columns? Documents? Monday, June 21, 2010

How can we operate on that data? Monday, June 21, 2010

How can we operate on that data? Dynamic Queries Monday, June 21, 2010

How can we operate on that data? Dynamic Queries Secondary Indexes Monday, June 21, 2010

How can we operate on that data? Dynamic Queries Secondary Indexes Atomic Updates Monday, June 21, 2010

How can we operate on that data? Dynamic Queries Secondary Indexes Atomic Updates Map-‐Reduce Monday, June 21, 2010

$or Monday, June 21, 2010

What are our application access patterns? Monday, June 21, 2010

What are our application access patterns? What’s the read / write ratio? Monday, June 21, 2010

What are our application access patterns? What’s the read / write ratio? How is data updated? Monday, June 21, 2010

What are our application access patterns? What’s the read / write ratio? How is data updated? What kinds of queries? Monday, June 21, 2010

2. Rich Documents Monday, June 21, 2010

What can we do with rich documents? Monday, June 21, 2010

Queries Monday, June 21, 2010

Atomic Updates Monday, June 21, 2010

Map-‐Reduce Monday, June 21, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Monday, June 21, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Holistic representation. Monday, June 21, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Holistic representation. Documents easily manipulated by MongoDB Monday, June 21, 2010

3. Simpliﬁed Relations Monday, June 21, 2010

Tags Monday, June 21, 2010

Votes Monday, June 21, 2010

Adding a vote Monday, June 21, 2010

Finding all votes for a given user Monday, June 21, 2010

4. Embed vs. Reference Monday, June 21, 2010

post -‐> many comments Relational model: post comments post_id user_id tree attrs Monday, June 21, 2010

1. Embedded Document Monday, June 21, 2010

2. Embedded and Nested Document Monday, June 21, 2010

3. Normalized Collection Monday, June 21, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. Monday, June 21, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. 2. Embedded & nested document Complex hierarchies Document appears with parent Monday, June 21, 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. Monday, June 21, 2010

5. E-‐commerce Monday, June 21, 2010

Products As rich documents Monday, June 21, 2010

Products and Categories Using indexed array keys Monday, June 21, 2010

Products and Categories Monday, June 21, 2010

Products and Categories (Alternative) Monday, June 21, 2010

Wish lists As embedded documents Monday, June 21, 2010

Product reviews Normalized, rich documents Monday, June 21, 2010

6. Summary Monday, June 21, 2010

MongoDB Metamorphosis Monday, June 21, 2010

MongoDB Metamorphosis 1. Think about design questions Monday, June 21, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents Monday, June 21, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents 3. Simplify relations Monday, June 21, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents 3. Simplify relations 4. Embed vs. Reference Monday, June 21, 2010

MongoDB Metamorphosis 1. Think about design questions 2. Use rich documents 3. Simplify relations 4. Embed vs. Reference 5. E-‐commerce Monday, June 21, 2010

Thank You http://www.mongodb.org/ Monday, June 21, 2010

MongoDB Schema Design - MongoFR

by Kyle Banker on Jun 21, 2010

Accessibility

Categories

Tags

Upload Details

Usage Rights

2 Embeds 4

Statistics

MongoDB Schema Design - MongoFR — Presentation Transcript

http://www.slideshare.net	3
http://www.mefeedia.com	1