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Learning Mongoid

Learning Mongoid

By : Gautam Rege
4.5 (2)
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Learning Mongoid

Learning Mongoid

4.5 (2)
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)
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Learning Mongoid
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1
Index

Chapter 5. Mongoid Queries

In this chapter, we will learn everything about querying documents. We will see how to fire queries on various data types, embedded documents, and indexed queries. We will learn about criteria, lazy evaluation, and eager loading! We will also take a quick look at aggregations and MapReduce.

Mongoid querying DSL (domain-specific language or grammar) has been abstracted into a gem called Origin. This gem provides ActiveRelation styles to Mongoid queries. Origin can be used on its own, even without Mongoid and the main reason for this was to write a generic querying DSL that can be used independently.

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Learning Mongoid
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