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Kristina Chodorow - 50 Tips and Tricks for MongoDB Developers

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50 Tips and Tricks for MongoDB Developers: summary, description and annotation

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Getting started with MongoDB is easy, but once you begin building applications with it, youll face some complex issues. What are the tradeoffs between normalized and denormalized data? How do you handle replica set failure and failover? This collection of MongoDB tips, tricks, and hacks helps you resolve issues with everything from application design and implementation to data safety and monitoring. You get specific guidance in five topic areas directly from engineers at 10gen, the company that develops and supports this open source database:Application Design Tips: What to keep in mind when designing your schema Implementation Tips: Programming applications against MongoDB Optimization Tips: Speeding up your applications Data Safety Tips: Using replication and journaling to keep data safewithout sacrificing too much performance Administration Tips: How to configure MongoDB and keep it running smoothly

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50 Tips and Tricks for MongoDB Developers
Kristina Chodorow
Editor
Mike Loukides

Copyright 2011 Kristina Chodorow

OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (.

Nutshell Handbook, the Nutshell Handbook logo, and the OReilly logo are registered trademarks of OReilly Media, Inc. 50 Tips and Tricks for MongoDB Developers , the image of a helmet cockatoo, and related trade dress are trademarks of OReilly Media, Inc.

Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and OReilly Media, Inc. was aware of a trademark claim, the designations have been printed in caps or initial caps.

While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein.

OReilly Media Preface Getting started with MongoDB is easy but once youre - photo 1

O'Reilly Media

Preface

Getting started with MongoDB is easy, but once youre building applications with it more complex questions emerge. Is it better to store data using this schema or that one? Should I break this into two documents or store it all as one? How can I make this faster? The advice in this book should help you answer these questions.

This book is basically a list of tips, divided into topical sections:

Ideas to keep in mind when you design your schema.

Advice for programming applications against MongoDB.

Ways to speed up your application.

How to use replication and journaling to keep data safewithout sacrificing too much performance.

Advice for configuring MongoDB and keeping it running smoothly.

There are many tips that fit into more than one chapter, especially those concerning performance. The optimization chapter mainly focuses on indexing, but speed crops up everywhere, from schema design to implementation to data safety.

Who This Book Is For

This book is for people who are using MongoDB and know the basics. If you are not familiar with MongoDB, check out MongoDB: The Definitive Guide (OReilly) or the MongoDB online documentation.

Conventions Used in This Book

The following typographical conventions are used in this book:

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Indicates new terms, URLs, email addresses, filenames, and file extensions.

Constant width

Used for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords.

Constant width bold

Shows commands or other text that should be typed literally by the user.

Constant width italic

Shows text that should be replaced with user-supplied values or by values determined by context.

Tip

This icon signifies a tip, suggestion, or general note.

Caution

This icon indicates a warning or caution.

Using Code Examples

This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless youre reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from OReilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission.

We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: 50 Tips and Tricks for MongoDB Developers by Kristina Chodorow (OReilly). Copyright 2011 Kristina Chodorow, 978-1-449-30461-4.

If you feel your use of code examples falls outside fair use or the permission given above, feel free to contact us at .

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Chapter 1. Application Design Tips
Tip #1: Duplicate data for speed, reference data for integrity

Data used by multiple documents can either be embedded (denormalized) or referenced (normalized). Denormalization isnt better than normalization and visa versa: each have their own trade-offs and you should choose to do whatever will work best with your application.

Denormalization can lead to inconsistent data: suppose you want to change the apple to a pear in . If you change the value in one document but the application crashes before you can update the other documents, your database will have two different values for fruit floating around.

Figure 1-1 A normalized schema The fruit field is stored in the food - photo 2

Figure 1-1. A normalized schema. The fruit field is stored in the food collection and referenced by the documents in the meals collection.

Inconsistency isnt great, but the level of not-greatness depends on what youre storing. For many applications, brief periods of inconsistency are OK: if someone changes his username, it might not matter that old posts show up with his old username for a few hours. If its not OK to have inconsistent values even briefly, you should go with normalization.

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