- Paperback: 66 pages
- Publisher: O'Reilly Media; 1 edition (March 10, 2011)
- Language: English
- ISBN-10: 1449303218
- ISBN-13: 978-1449303211
- Product Dimensions: 7 x 0.2 x 9.2 inches
- Shipping Weight: 4.2 ounces (View shipping rates and policies)
- Average Customer Review: 8 customer reviews
- Amazon Best Sellers Rank: #1,422,182 in Books (See Top 100 in Books)
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Scaling MongoDB: Sharding, Cluster Setup, and Administration 1st Edition
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About the Author
Kristina Chodorow, a software engineer at 10gen, is a core contributor to the MongoDB project and has worked on the database server, PHP driver, Perl driver, and many other areas. She’s given talks at conferences around the world, including OSCON, LinuxCon, FOSDEM, and Latinoware.
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I was wrong!
This is little more than a pamphlet on MongoDB. It does have some good information, information you will easily be able to digest in a couple of hours tops. That said the depth of the information is not sufficient, how could it be, it is just a pamphlet.
Making matters worse, the content is woefully out of date. It is so out of date, that the pamphlet should be pulled from the shelves.
It would make a good primer on MongoDB 3 years ago at about $10.
I cannot see anyone purchasing this pamphlet at this point being satisfied with the purchase. It is so thin that O'rielly was unable to print anything on the spine. I feel abused, thanks O'rielly.
This book is not a programming book, but rather an architecture book that's meant for operations people. It covers the MongoDB architecture and how to scale it. The 3 main implementations covered in this book are the single Mongo instance, replication sets and sharding and how to implement them.
Replica sets are the way MongoDB implements replication. This is covered extensively in the book, which also includes how to best use replication sets and the various ways to implement them. Sharding is also covered in this book. Sharding is the most scalable architecture that MongoDB has and also the most complex because it has several components. These components are: the replica sets themselves, the configuration servers and the routing instance. The author carries it off in this small book and explains them all in a simple and clear language.
The book is an enjoyable introduction to scaling MongoDB.
It begins by defining concepts such as sharding or splitting and in how MongoDB splits data between servers.
Step by step the book guide us in how to implement a database cluster, its configuration and administration.
It is so easy that in less than an hour you can have running a cluster in, for example, Amazon EC2 for testing.
It also offers a few tips on how to configure the database depending on the data you're working in.
This book is not a complete manual or an administration guide and it doesn't want to be on, it only provides us an introduction to mongoDB capabilities.
In short, a simple but useful book.
An enjoyable quick reading if you already know about MongoDB and you need more processing power.
If you are new to MongoDB, you should get a more complete book like MongoDB: The Definitive Guide. Scaling MongoDB is about the specific, but important issues raised by scalability. Having a separate book makes sense. Indeed, Learning the basics of MongoDB is not hard. But figuring it out sharding is a lot harder and deserves a book.
(Disclaimer: I got a free copy from the publisher.)