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Mastering  Node.js

You're reading from   Mastering Node.js Build robust and scalable real-time server-side web applications efficiently

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781785888960
Length 498 pages
Edition 2nd Edition
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Authors (2):
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Sandro Pasquali Sandro Pasquali
Author Profile Icon Sandro Pasquali
Sandro Pasquali
Kevin Faaborg Kevin Faaborg
Author Profile Icon Kevin Faaborg
Kevin Faaborg
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Table of Contents (13) 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. Using Multiple Processes 8. Scaling Your Application 9. Microservices 10. Testing Your Application 11. Organizing Your Work into Modules 12. Creating Your Own C++ Add-ons

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. 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 data store that runs in memory. It is very fast, and focused on implementing several data structures, such as hashes and...

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