CouchDB

This hands-on book introduces you to Apache CouchDB, a document-oriented database that offers a different way to model your data. CouchDB is a schema-free database, designed to work with applications that handle commonplace information such as contacts, invoices, and receipts -- information that's easier to access as self-contained documents, rather than as records in a relational database.In CouchDB: The Definitive Guide, three of the core developers of this database gently explain how to work with CouchDB, using clear and practical scenarios. Each chapter showcases key features, such as simple document CRUD (create, read, update, delete), advanced MapReduce, and deployment tuning for performance and reliability.With this book, you will:Understand the basics of document-based storage and manipulationLearn how CouchDB's RESTful nature lets you interact with it by sending HTTP requests and receiving HTTP responsesModel data as self-contained JSON documentsManage basic document CRUDHandle evolving data naturallyQuery and aggregate data in CouchDB using MapReduce viewsReplicate data between nodesCarry out deployment tuning for performance and reliabilityWhy complicate your recordkeeping by using a cumbersome relational database, when you can save your data as self-contained documents with CouchDB? Learn how CouchDB is ideal for high volume, distributed applications, and useful as an application framework on its own, with CouchDB: The Definitive Guide. It's the only book that covers this database.

Introduces you to Apache CouchDB, a document-oriented database that offers a different way to model your data. This book helps you: understand the basics of document-based storage and manipulation; model data as self-contained JSON documents; manage basic document CRUD; handle evolving data naturally; and, replicate data between nodes.

Dedication;Foreword;Preface; Using Code Examples; Conventions Used in This Book; Safari® Books Online; How to Contact Us; Acknowledgments;Introduction; Chapter 1: Why CouchDB?; 1.1 Relax; 1.2 A Different Way to Model Your Data; 1.3 A Better Fit for Common Applications; 1.4 Building Blocks for Larger Systems; 1.5 Local Data Is King; 1.6 Wrapping Up; Chapter 2: Eventual Consistency; 2.1 Working with the Grain; 2.2 The CAP Theorem; 2.3 Local Consistency; 2.4 Distributed Consistency; 2.5 Wrapping Up; Chapter 3: Getting Started; 3.1 All Systems Are Go!; 3.2 Welcome to Futon; 3.3 Your First Database and Document; 3.4 Running a Query Using MapReduce; 3.5 Triggering Replication; 3.6 Wrapping Up; Chapter 4: The Core API; 4.1 Server; 4.2 Databases; 4.3 Documents; 4.4 Replication; 4.5 Wrapping Up;Developing with CouchDB; Chapter 5: Design Documents; 5.1 Document Modeling; 5.2 The Query Server; 5.3 Applications Are Documents; 5.4 A Basic Design Document; 5.5 Looking to the Future; Chapter 6: Finding Your Data with Views; 6.1 What Is a View?; 6.2 Efficient Lookups; 6.3 The View to Get Comments for Posts; 6.4 Reduce/Rereduce; 6.5 Wrapping Up; Chapter 7: Validation Functions; 7.1 Document Validation Functions; 7.2 Validation's Context; 7.3 Writing One; 7.4 Wrapping Up; Chapter 8: Show Functions; 8.1 The Show Function API; 8.2 Side Effect-Free; 8.3 Design Documents; 8.4 Querying Show Functions; 8.5 Etags; 8.6 Functions and Templates; 8.7 Learning Shows; 8.8 Using Templates; 8.9 Writing Templates; Chapter 9: Transforming Views with List Functions; 9.1 Arguments to the List Function; 9.2 An Example List Function; 9.3 List Theory; 9.4 Querying Lists; 9.5 Lists, Etags, and Caching;Example Application; Chapter 10: Standalone Applications; 10.1 Use the Correct Version; 10.2 Portable JavaScript; 10.3 Applications Are Documents; 10.4 Standalone; 10.5 In the Wild; 10.6 Wrapping Up; Chapter 11: Managing Design Documents; 11.1 Working with the Example Application; 11.2 Installing CouchApp; 11.3 Using CouchApp; 11.4 Download the Sofa Source Code; 11.5 Deploying Sofa; 11.6 Set Up Your Admin Account; 11.7 Configuring CouchApp with .couchapprc; Chapter 12: Storing Documents; 12.1 JSON Document Format; 12.2 Beyond _id and _rev: Your Document Data; 12.3 The Edit Page; 12.4 Saving a Document; 12.5 Wrapping Up; Chapter 13: Showing Documents in Custom Formats; 13.1 Rendering Documents with Show Functions; 13.2 Dynamic Dates; Chapter 14: Viewing Lists of Blog Posts; 14.1 Map of Recent Blog Posts; 14.2 Rendering the View as HTML Using a List Function;Deploying CouchDB; Chapter 15: Scaling Basics; 15.1 Scaling Read Requests; 15.2 Scaling Write Requests; 15.3 Scaling Data; 15.4 Basics First; Chapter 16: Replication; 16.1 The Magic; 16.2 Simple Replication with the Admin Interface; 16.3 Replication in Detail; 16.4 Continuous Replication; 16.5 That's It?; Chapter 17: Conflict Management; 17.1 The Split Brain; 17.2 Conflict Resolution by Example; 17.3 Working with Conflicts; 17.4 Deterministic Revision IDs; 17.5 Wrapping Up; Chapter 18: Load Balancing; 18.1 Having a Backup; Chapter 19: Clustering; 19.1 Introducing CouchDB Lounge; 19.2 Consistent Hashing; 19.3 Growing the Cluster;Reference; Chapter 20: Change Notifications; 20.1 Polling for Changes; 20.2 Long Polling; 20.3 Continuous Changes; 20.4 Filters; 20.5 Wrapping Up; Chapter 21: View Cookbook for SQL Jockeys; 21.1 Using Views; 21.2 Look Up by Key; 21.3 Look Up by Prefix; 21.4 Aggregate Functions; 21.5 Get Unique Values; 21.6 Enforcing Uniqueness; Chapter 22: Security; 22.1 The Admin Party; 22.2 Basic Authentication; 22.3 Cookie Authentication; 22.4 Network Server Security; Chapter 23: High Performance; 23.1 Good Benchmarks Are Non-Trivial; 23.2 High Performance CouchDB; 23.3 Bulk Inserts and Mostly Monotonic DocIDs; 23.4 Bulk Document Inserts; 23.5 Batch Mode; 23.6 Single Document Inserts; 23.7 Hovercraft; 23.8 Trade-Offs; Chapter 24: Recipes; 24.1 Banking; 24.2 Ordering Lists; 24.3 Pagination;Appendixes; Installing on Unix-like Systems; Debian GNU/Linux; Ubuntu; Gentoo Linux; Problems; Installing on Mac OS X; CouchDBX; Homebrew; MacPorts; Installing on Windows; Installing from Source; Dependencies; Installing; Security Considerations; Running Manually; Running As a Daemon; Troubleshooting; JSON Primer; Data Types; The Power of B-trees;Colophon;