Learning Mongoid


Learning Mongoid
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Overview
Table of Contents
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Sample Chapters
  • A step-by-step guide that explains how to use Mongoid through lots of examples and code
  • Monitor and fine-tune the performance of your application
  • Work with the MongoDB aggregation framework

Book Details

Language : English
Paperback : 140 pages [ 235mm x 191mm ]
Release Date : December 2013
ISBN : 1782167501
ISBN 13 : 9781782167501
Author(s) : Gautam Rege
Topics and Technologies : All Books, Web Development, Open Source


Table of Contents

Preface
Chapter 1: What's so Awesome about Mongoid?
Chapter 2: Mongoid Document Model
Chapter 3: Persisting Documents
Chapter 4: Mongoid Relations
Chapter 5: Mongoid Queries
Chapter 6: Performance Tuning
Chapter 7: Mongoid Modules
Index
  • Chapter 1: What's so Awesome about Mongoid?
    • A practical approach using the Sodibee library system
      • Checking prerequisites
        • Ruby version
        • MongoDB version
      • Setting up Sodibee
        • Creating models
        • Testing the models
      • Introducing Moped
        • Dynamic attributes
      • Introducing Origin
    • Notice about Mongoid 2.x
    • Mongoid and MongoMapper
    • Summary
  • Chapter 2: Mongoid Document Model
    • The Mongoid document
      • Basic attributes
      • Arrays and hashes
      • Date and time attributes
      • Serialization with Mongoize
      • Field aliases
    • Embedded documents
    • Localization
    • Mass assignment and security
    • Summary
  • Chapter 3: Persisting Documents
    • MongoDB persistence strategy
      • Binary JSON (BSON)
      • Memory maps, delayed sync, and journals
      • Creating documents
      • Updating documents and attributes
        • Database locks and transactions
        • Applications and lock versioning
        • The MongoDB findAndModify method
      • Atomic attribute updates
      • Dynamic attributes
      • Nested attributes
    • Validations
    • Callbacks
    • Summary
  • Chapter 4: Mongoid Relations
    • Configuring relationships
      • Common options for all relations
        • :class_name
        • :inverse_of
      • Relation-specific options
    • has_one – the one-to-one relation
      • :as
      • :autosave
      • :autobuild
      • :dependent
      • :primary_key
      • :foreign_key
      • :validate
    • has_many – the many-to-one relation
      • :order
      • :before_add, :after_add, :before_remove, and :after_remove
    • The belongs_to relation
      • :index
      • :polymorphic
      • :touch
      • :counter_cache
    • has_and_belongs_to_many – the many-to-many relation
      • :inverse_of
    • Polymorphic relations
    • embeds_many – embedding many documents
      • :cascade_callbacks
      • :store_as
      • :cyclic
    • embeds_one – embed one document
    • embedded_in – resolving children
    • Embedded polymorphic relations
    • Summary
  • Chapter 5: Mongoid Queries
    • Origins of Origin
    • Query selectors
      • Overloading the Symbol class
    • Mongoid criteria
    • Queries on arrays and hashes
      • Scopes
    • Atomic modifiers
      • find_and_modify
    • Querying with indexed fields
      • Covered queries
    • The aggregation framework
    • Geolocation queries
    • Summary
  • Chapter 6: Performance Tuning
    • MongoDB environment
    • Indexes
      • Write concern
      • Compound index
      • Multikey index
      • Hashed index
      • Text index
    • IdentityMap
      • n+1 query problem and eager loading
    • MapReduce and the aggregation framework
      • Using the aggregation framework
      • Choosing between MapReduce and the aggregation framework
    • Monitoring query performance
      • Profiling MongoDB
      • Statistical data
      • Hint and currentOp
    • Good practices and recommendations
    • Summary
  • Chapter 7: Mongoid Modules
    • Timestamping
    • Versioning
    • Paranoia
    • Acts as state machine (aasm)
      • carrierwave
      • mongoid-audit
      • devise
    • Summary

Gautam Rege

Gautam Rege has been working in Ruby since 2007 and has been experimenting a lot with MongoDB. He believes Ruby is indeed the language of the next generation – very human-readable, flexible and extremely enjoyable. MongoDB is the new age NoSQL forerunner. It has rightly started to gain ‘humongous’ patronage. Gautam works a lot in Rails and at Josh Software Private Limited, the company he co-founded, working exclusively in Ruby and Ruby-related technologies. He is well versed with Rhodes (the Ruby mobile framework), Merb, Sinatra and occasionally also experiments with JS frameworks like Sproutcore, and Backbone.js

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Sample chapters

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What you will learn from this book

  • Learn the syntax of Mongoid 4 with Rails 4
  • Understand moped, the new Ruby driver for MongoDB Learn about document relations in Mongoid
  • Understand origin, the new querying DSL
  • Manage indexes in Mongoid
  • Learn about gems that work with Mongoid
  • Tune and monitor performance

In Detail

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.

Approach

A step-by-step tutorial with focused examples that will help you build scalable, high performance Rails web applications with Mongoid.

Who this book is for

If you are an application developer who wants to learn how to use Mongoid in a Rails application, this book will be great for you. You are expected to be familiar with MongoDB and Ruby.

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