The new world of cloud computing needs data storage. CouchDB is the scalable, portable, simple database engine that is helping open source cloud architects put their data stores onto a firm foundation. Beginning CouchDB provides the tools to begin using this very powerful database engine without having to pay license fees for the software, or worry about administrator's certifications or vast hardware requirements. This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch. After reading this book and working through the examples, you'll be able to write your own applications for CouchDB quickly and easily. In-depth, non-intimidating guide to CouchDB and how it differs from similar offerings such as SimpleDB and BigTable, and also how it differs from traditional relational and object-oriented databases such as Oracle, SQL Server, and MySQL. Detailed explanation of how CouchDB works, its suitability for use in distributed environments, the role of Erlang, and other technical topics in a manner that does not obfuscate methods or results. JavaScript is extremely popular as a development language for CouchDB. No Erlang is required, but a little bit can't hurt either. A tutorial-oriented approach to teaching readers how to use CouchDB, featuring many code examples and listings, as well as screenshots where relevant.

The new world of cloud computing needs data storage. CouchDB is the scalable, portable, simple database engine that is helping open source cloud architects put their data stores onto a firm foundation. Beginning CouchDB provides the tools to begin using this very powerful database engine without having to pay license fees for the software, or worry about administrator's certifications or vast hardware requirements. This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch. After reading this book and working through the examples, you'll be able to write your own applications for CouchDB quickly and easily. In-depth, non-intimidating guide to CouchDB and how it differs from similar offerings such as SimpleDB and BigTable, and also how it differs from traditional relational and object-oriented databases such as Oracle, SQL Server, and MySQL. Detailed explanation of how CouchDB works, its suitability for use in distributed environments, the role of Erlang, and other technical topics in a manner that does not obfuscate methods or results. JavaScript is extremely popular as a development language for CouchDB. No Erlang is required, but a little bit can't hurt either. A tutorial-oriented approach to teaching readers how to use CouchDB, featuring many code examples and listings, as well as screenshots where relevant.

CouchDB is a new breed of database for the Internet, geared to meet the needs of today's dynamic web applications. With this concise introduction, you'll learn how CouchDB's simple model for storing, processing, and accessing data makes it ideal for the type of data and rapid response users now demand from your applications--and how easy CouchDB is to set up, deploy, maintain, and scale. The code-packed examples in this book will help you learn how to work with documents, populate a simple database, replicate data from one database to another, and a host of other tasks. Install CouchDB on Linux, Mac OS X, Windows, or (if you must) from the source code Interact with data through CouchDB's RESTful API, and use standard HTTP operations, such as PUT, GET, POST, and DELETE Use Futon--CouchDB's web-based interface-- to manage databases and documents, and to configure replications Learn how to create, update, and delete documents in JSON format, and how to create and delete databases Work with design documents to get the formatting and indexing your application requires

CouchDB is a new breed of database for the Internet, geared to meet the needs of today’s dynamic web applications. With this concise introduction, you’ll learn how CouchDB’s simple model for storing, processing, and accessing data makes it ideal for the type of data and rapid response users now demand from your applications—and how easy CouchDB is to set up, deploy, maintain, and scale. The code-packed examples in this book will help you learn how to work with documents, populate a simple database, replicate data from one database to another, and a host of other tasks. Install CouchDB on Linux, Mac OS X, Windows, or (if you must) from the source code Interact with data through CouchDB’s RESTful API, and use standard HTTP operations, such as PUT, GET, POST, and DELETE Use Futon—CouchDB’s web-based interface— to manage databases and documents, and to configure replications Learn how to create, update, and delete documents in JSON format, and how to create and delete databases Work with design documents to get the formatting and indexing your application requires

Three of CouchDB's creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. With its simple model for storing, processing, and accessing data, CouchDB is ideal for web applications that handle huge amounts of loosely structured data. That alone would stretch the limits of a relational database, yet CouchDB offers an open source solution that's reliable, scales easily, and responds quickly. CouchDB works with self-contained data that has loose or ad-hoc connections. It's a model that fits many real-world items, such as contacts, invoices, and receipts, but you'll discover that this database can easily handle data of any kind. With this book, you'll learn how to work with CouchDB through its RESTful web interface, and become familiar with key features such as simple document CRUD (create, read, update, delete), advanced MapReduce, deployment tuning, and more. Understand the basics of document-oriented storage and manipulation Interact with CouchDB entirely though HTTP using its RESTful interface Model data as self-contained JSON documents Handle evolving data schemas naturally Query and aggregate data in CouchDB using MapReduce views Replicate data between nodes Tune CouchDB for increased performance and reliability

Get your PHP application from conception to deployment by leveraging CouchDB's robust features with this book and ebook.

Beginning JSON is the definitive guide to JSON - JavaScript Object Notation - today’s standard in data formatting for the web. The book starts with the basics, and walks you through all aspects of using the JSON format. Beginning JSON covers all areas of JSON from the basics of data formats to creating your own server to store and retrieve persistent data. Beginning JSON provides you with the skill set required for reading and writing properly validated JSON data. The first two brief chapters of the book contain the foundations of JavaScript as it relates to JSON, and provide the necessary understandings for later chapters. Chapters 3 through 12 reveal what data is, how to convert that data into a transmittable/storable format, how to use AJAX to send and receive JSON, and, lastly, how to reassemble that data back into a proper JavaScript object to be used by your program. The final chapters put everything you learned into practice.

Today's mobile devices have GPS and standard APIs to give you access to coordinates—but what can you do with that data? With this concise book, application developers learn how to work with location data quickly and easily, using Node.js, CouchDB, and other open source tools and libraries. Node.js makes it simple to run event code on the Web, and the CouchDB document-oriented database lets you store location data and perform complex queries on it quickly. You'll learn how to get started with these tools, and then use them together to build an example project called MapChat, using HTML and JavaScript code samples. Learn how to serve dynamic content with Node.js, and use its asynchronous IO to handle several requests at once Become familiar with GeoJSON, Geohash, and the Geospatial Data Abstraction Library (GDAL) for working with spatial data Build geospatial indexes using the GeoCouch branch of CouchDB Combine these tools to build a project that lets users post real-time chat messages tagged with their current map location

Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter. While relational databases such as MySQL remain as relevant as ever, the alternative, NoSQL paradigm has opened up new horizons in performance and scalability and changed the way we approach data-centric problems. This book presents the essential concepts behind each database alongside hands-on examples that make each technology come alive. With each database, tackle a real-world problem that highlights the concepts and features that make it shine. Along the way, explore five database models - relational, key/value, columnar, document, and graph - from the perspective of challenges faced by real applications. Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set. Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. What You Need: You'll need a *nix shell (Mac OS or Linux preferred, Windows users will need Cygwin), Java 6 (or greater), and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application. Through a series of scenario-based examples, this book lets you explore several methods for creating a system that can accommodate growth and meet expected demand. In the process, you learn about several tools that can help you with replication, load balancing, clustering, and load testing and monitoring. Apply performance tips for tuning your database Replicate data, using Futon and CouchDB’s RESTful interface Distribute CouchDB’s workload through load balancing Learn options for creating a cluster of CouchDB nodes, including BigCouch, Lounge, and Pillow Conduct distributed load testing with Tsung