Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Couchbase Essentials
  • Table Of Contents Toc
Couchbase Essentials

Couchbase Essentials

By : John C Zablocki
3 (2)
Buy this Book
close
close
Couchbase Essentials

Couchbase Essentials

3 (2)
By: John C Zablocki
Buy this Book

Overview of this book

This book is for those application developers who want to achieve greater flexibility and scalability from their software. Whether you are familiar with other NoSQL databases or have only used relational systems, this book will provide you with enough background to move you along at your own pace. If you are new to NoSQL document databases, the design discussions and introductory material will give you the information you need to get started with Couchbase.
Table of Contents (10 chapters)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Getting Comfortable with Couchbase
Icon
1. Getting Comfortable with Couchbase
Icon
The NoSQL landscape
Icon
NoSQL taxonomies
Icon
Installing Couchbase
Icon
Ports
Icon
Running Couchbase for the first time
Icon
Exploring the Couchbase Console
Icon
Couchbase architecture
Icon
Couchbase SDKs
Icon
RAM matters
Icon
Summary
2
2. Using Couchbase CRUD Operations
Icon
2. Using Couchbase CRUD Operations
Icon
The Couchbase SDKs
Icon
Basic operations
Icon
Advanced CRUD operations
Icon
Storing complex types
Icon
Concurrency and locking
Icon
Asynchronous operations
Icon
Durability operations
Icon
Summary
3
3. Creating Secondary Indexes with Views
chevron up
Icon
3. Creating Secondary Indexes with Views
Icon
Couchbase documents
Icon
Couchbase indexes
Icon
MapReduce
Icon
Couchbase views
Icon
Couchbase Console
Icon
Querying views
Icon
Couchbase SDKs and views
Icon
Summary
4
4. Advanced Views
Icon
4. Advanced Views
Icon
Querying by type
Icon
Nested collections
Icon
Range queries
Icon
Multiple keys per document
Icon
Compound indexes
Icon
Grouping keys
Icon
Emitting values
Icon
Querying with beer-sample
Icon
Summary
5
5. Introducing N1QL
Icon
5. Introducing N1QL
Icon
Installing N1QL
Icon
Simple queries
Icon
Null or missing properties
Icon
String utilities
Icon
Aggregation and math
Icon
Complex structures
Icon
Working with collections
Icon
Joins
Icon
SDK support
Icon
Summary
6
6. Designing a Schema-less Data Model
Icon
6. Designing a Schema-less Data Model
Icon
Key design
Icon
Document design
Icon
Summary
7
7. Creating a To-do App with Couchbase
Icon
7. Creating a To-do App with Couchbase
Icon
A simple to-do schema
Icon
Working with SDKs
Icon
Creating a task
Icon
Listing tasks
Icon
Showing only incomplete tasks
Icon
Nested tasks
Icon
Summary
8
A. Couchbase SDKs
Icon
A. Couchbase SDKs
Icon
Couchbase Java SDK
Icon
Couchbase .NET SDK
Icon
Couchbase PHP SDK
Icon
The Couchbase Node.js SDK
Icon
Couchbase Python SDK
Icon
Couchbase Ruby SDK
Icon
Couchbase C SDK
9
Index
Icon
Index

MapReduce

Before we can start our exploration of the Couchbase Server views, we first need to understand what MapReduce is and how we'll use it to create secondary indexes for our documents.

At its simplest, MapReduce is a programming pattern used to process large amounts of data that is typically distributed across several nodes in parallel. In the NoSQL world, MapReduce implementations may be found on many platforms from MongoDB to Hadoop, and of course Couchbase.

Even if you're new to the NoSQL landscape, it's quite possible that you've already worked with a form of MapReduce. The inspiration for MapReduce in distributed NoSQL systems was drawn from the functional programming concepts of map and reduce. While purely functional programming languages haven't quite reached mainstream status, languages such as Python, C#, and JavaScript all support map and reduce operations.

Map functions

Consider the following Python snippet:

numbers = [1, 2, 3, 4, 5]
doubled = map(lambda...
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Couchbase Essentials
End of Section 3
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon