MongoDB是一個介於關繫數據庫和非關繫數據庫之間的產品，是非關繫數據庫當中功能*豐富，*像關繫數據庫的。他支持的數據結構**松散，是類似json的bson格式，因此可以存儲比較復雜的數據類型。
對於新手和那些想要獲取*多實踐知識的有經驗用戶來說，《MongoDB設計模式(影印版)》(作者科普蘭)都是一本必要的讀物。

無論你正在搭建一個社交媒體網站還是一個內部 使用的企業應用，《MongoDB設計模式(影印版)》這 本注重實踐的指南都可以為你展示出在MongoDB和它 所用來解決的商業問題之間的緊密聯繫。你將學習如 何把MongoDB設計模式應用到多個具有挑戰性的領域 中，比如電子商務、內容管理和在線遊戲。通過使用 Python和JayaScript的代碼實例，你將了解MongoDB 是如何讓你在調整數據模型的同時簡化開發流程。很 多商業應用在還沒有理解如何更有效地使用NoSQL數 據庫之前就直接啟用了它。這本《MongoDB設計模式( 影印版)》(作者科普蘭)將為你演示文檔嵌入、多態 性架構和其他處理特定大數據用例的MongoDB模式的 優勢所在，包括：營運智能：執行商業數據的實時分 析。電子商務：讓MongoDB成為產品目錄大師或者庫 存管理繫統。內容管理：學習用來存儲內容節點、二 元資產和討論區的方法。在線廣告網絡：把技術運用 於廣告播放的頻次控制、關鍵字定位和競價。社交網 絡：學習如何存儲一個仿效Google+的復雜社交圖。 在線遊戲：為一個多人角色扮演遊戲提供對人物和世 界數據的並發訪問。

Preface
Part I．Design Patterns
1．To EmbedOrReference
Relational Data Modeling and Normalization
What Is a Normal Form，Anyway?
So What's the Problem?
Denormalizing for Performance
MongoDB：Wh0 Needs Normalization．Anyway?
MongoDB Document Format
Embedding for Locality
Embedding for Atomicity and Isolation
Referencing for Flexibilitv
Referencing for Potentially High--Arity Relationships
Many-to-Many Relationships
Conclusion
2．PolymorphicSchemas
Polymorphic Schemas to SuppoObject—Oriented Programming
Polymorphic Schemas Enable Schema Evolution
Storage(In-)Efficiency ofBSON
Polymorphic Schemas SuppoSemi—Structured Domain Data
Conclusion
3．MimickingTransactional Behavior
The Relational Approach to Consistency
Compound Documents
Using Complex Updates
Optimistic Update with Compensation
Conclusion
Partll．UseCases
4．OperationalIntelligence
Storing Log Data
Solution 0verview
Schema Design
Operations
Sharding Concerns
Managing Event Data Growth
Pre—Aggregated Reports
Solution 0verview
Schema Design
Operations
Sharding Concerns
Hierarchical Aggregation
Solution Overview
Schema Design
MapReduce
Operations
Sharding Concerns
5．Ecommetce
Product Catalog
Solution Overview
Operations
Sharding Concerns
Category Hierarchy
Solution Overview
Schema Design
Operations
Sharding Concerns
Inventory Management
Solution 0verview
Schema
Operations
Sharding Concerns
6．ContentManagementSystems
Metadata and Asset Management
Solution Overview
Schema Design
Operations
Sharding Concerns
Storing Comments
Solution 0verview
Approach：One Document per Comment
Approach：Embedding All Comments
Approach：Hybrid Schema Design
Sharding Concerns
7．OnlineAdvertising Networks
Solution Overview
Design 1：Basic Ad Serving
Schema Design
Operation：Choose an Ad to Serve
Operation：Make an Ad Campaign Inactive
Sharding Concerns
Design 2：Adding Frequency Capping
Schema Design
Operation：Choose an Ad to Serve
Sharding
Design 3：Keyword Targeting
Schema Design
Operation：Choose a Group ofAds to Serve
8．SociaI Networking
Solution Overview
Schema Design
Independent Collections
Dependent Collections
Operations
Viewing a News Feed or WaU Posts
Commenting on a Post
Creating a New Post
Maintaining the Social Graph
Sharding
9．OnlineGaminq．
Solution Overview
Schema Design
Character Schema
Rem Schema
Locion Schema
Operations
Load Character Data from MongoDB
Extract Armor and Weapon Data for Display
Extract Character Attributes，Inventorand Room Information for Display
PickUp anItemfrom aRoom
Remove an Item from a Container
Move the Character to a Different Room
Buy an Item
Sharding
Afterword
Index