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.
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 |
Downloads: | 122 |
Created: | 2022-02-02 |
License: | CC BY |
Author(s): | J. Chris Anderson, Jan Lehnardt, Noah Slater |
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