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Couchbase Essentials

By : John C Zablocki

3 (2)

Couchbase Essentials

3 (2)

By: John C Zablocki

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Getting Comfortable with Couchbase

1. Getting Comfortable with Couchbase

The NoSQL landscape

NoSQL taxonomies

Installing Couchbase

Ports

Running Couchbase for the first time

Exploring the Couchbase Console

Couchbase architecture

Couchbase SDKs

RAM matters

Summary

2. Using Couchbase CRUD Operations

2. Using Couchbase CRUD Operations

The Couchbase SDKs

Basic operations

Advanced CRUD operations

Storing complex types

Concurrency and locking

Asynchronous operations

Durability operations

Summary

3. Creating Secondary Indexes with Views

3. Creating Secondary Indexes with Views

Couchbase documents

Couchbase indexes

MapReduce

Couchbase views

Couchbase Console

Querying views

Couchbase SDKs and views

Summary

4. Advanced Views

4. Advanced Views

Querying by type

Nested collections

Range queries

Multiple keys per document

Compound indexes

Grouping keys

Emitting values

Querying with beer-sample

Summary

5. Introducing N1QL

5. Introducing N1QL

Installing N1QL

Simple queries

Null or missing properties

String utilities

Aggregation and math

Complex structures

Working with collections

Joins

SDK support

Summary

6. Designing a Schema-less Data Model

6. Designing a Schema-less Data Model

Key design

Document design

Summary

7. Creating a To-do App with Couchbase

7. Creating a To-do App with Couchbase

A simple to-do schema

Working with SDKs

Creating a task

Listing tasks

Showing only incomplete tasks

Nested tasks

Summary

A. Couchbase SDKs

A. Couchbase SDKs

Couchbase Java SDK

Couchbase .NET SDK

Couchbase PHP SDK

The Couchbase Node.js SDK

Couchbase Python SDK

Couchbase Ruby SDK

Couchbase C SDK

Index

Index

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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...

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