CouchDB: The Definitive Guide

Download free course CouchDB: The Definitive Guide, pdf file on 272 pages by J. Chris Anderson, Jan Lehnardt, Noah Slater.

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.

Table of contents

Introduction
Why CouchDB?
Eventual Consistency
Getting Started
The Core API
Developing with CouchDB
Design Documents
Finding Your Data with Views
Validation Functions
Show Functions
Transforming Views with List Functions
Example Application
Standalone Applications
Managing Design Documents
Storing Documents
Showing Documents in Custom Formats
Viewing Lists of Blog Posts
Deploying CouchDB
Scaling Basics
Replication
Conflict Management
Load Balancing
Clustering
Reference
Change Notifications
View Cookbook for SQL Jockeys
Security
High Performance
Recipes
Appendixes
Installing on Unix-like Systems
Installing on Mac OS X
Installing on Windows
Installing from Source
JSON Primer
The Power of B-trees

Pages :	272
Size :	3.8 MB
File type :	PDF
Downloads:	159
Created:	2022-02-02
License:	CC BY
Author(s):	J. Chris Anderson, Jan Lehnardt, Noah Slater

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