Learning Mongoid电子书

Learning Mongoid

Table of Contents

Learning Mongoid

Credits

About the Author

About the Reviewers

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Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

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

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

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

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

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

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

7. Mongoid Modules

Timestamping

Versioning

Paranoia

Acts as state machine (aasm)

carrierwave

mongoid-audit

devise

Summary

Index