Book Image

Learning Mongoid

By : Gautam Rege
Book Image

Learning Mongoid

By: Gautam Rege

Overview of this book

Mongoid helps you to leverage the power of schema-less and efficient document-based design, dynamic queries, and atomic modifier operations. Mongoid eases the work of Ruby developers while they are working on complex frameworks. Starting with why and how you should use Mongoid, this book covers the various components of Mongoid. It then delves deeper into the detail of queries and relations, and you will learn some tips and tricks on improving performance. With this book, you will be able to build robust and large-scale web applications with Mongoid and Rails. Starting with the basics, this book introduces you to components such as moped and origin, and how information is managed, learn about the various datatypes, embedded documents, arrays, and hashes. You will learn how a document is stored and manipulated with callbacks, validations, and even atomic updates. This book will then show you the querying mechanism in detail, right from simple to complex queries, and even explains eager loading, lazy evaluation, and chaining of queries. Finally, this book will explain the importance of performance tuning and how to use the right indexes. It also explains MapReduce and the Aggregation Framework.
Table of Contents (14 chapters)
Learning Mongoid
About the Author
About the Reviewers

MongoDB environment

MongoDB works on all common operating systems, but it is frequently used in production with Enterprise Linux on 64-bit systems. Do remember that MongoDB uses memory-mapped files for speed and all indexes are stored in memory. So, MongoDB can indeed consume quite a lot of memory.

Typically, if you have a server that has 4 GB to 8 GB memory and a dual or quad core CPU, it's a good start. Disk space is never a concern in today's world; so, the more the disk space the better it is.

MongoDB automatically gets all the benefits of VM improvements. So, as the page fault management improves, MongoDB performance "automagically" improves!

If you are using a Linux system, it's highly recommended that the filesystem should be ext4 or XFS formatted and the kernel Version should be 2.6.36 or later.


Some commands mentioned here are specific to Ubuntu. If you are on a different operating system, use the relevant command.

To format the /data partition as ext4 on Ubuntu, issue the following...