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Mastering Node.js

You're reading from   Mastering Node.js Expert techniques for building fast servers and scalable, real-time network applications with minimal effort

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782166320
Length 346 pages
Edition 1st Edition
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Author (1):
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Sandro Pasquali Sandro Pasquali
Author Profile Icon Sandro Pasquali
Sandro Pasquali
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Toc

Table of Contents (14) Chapters Close

Preface 1. Understanding the Node Environment 2. Understanding Asynchronous Event-Driven Programming FREE CHAPTER 3. Streaming Data Across Nodes and Clients 4. Using Node to Access the Filesystem 5. Managing Many Simultaneous Client Connections 6. Creating Real-time Applications 7. Utilizing Multiple Processes 8. Scaling Your Application 9. Testing your Application A. Organizing Your Work B. Introducing the Path Framework C. Creating your own C++ Add-ons Index

Using Redis for tracking client state


For some of the applications and examples in this chapter we will be using Redis, an in-memory Key/Value (KV) database developed by Salvatore Sanfilippo and currently supported by Pivotal. More information on Redis can be found at http://redis.io. A well-known competitor to Redis is Memcached (http://memcached.org).

In general, any server that must maintain the session state of many clients will need a high speed data layer with near-instantaneous read/write performance, as request validation and user state transformations can occur multiple times on each request. Traditional file-backed relational databases tend to be slower at this task than in-memory KV databases. We're going to use Redis for tracking the client state.

Redis is a single-threaded server with a straightforward install:

wget http://download.redis.io/redis-stable.tar.gz
tar xvzf redis-stable.tar.gz
cd redis-stable
make

There is now a server and a command-line utility available in the /src...

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