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Python for Google App Engine

You're reading from   Python for Google App Engine Master the full range of development features provided by Google App Engine to build and run scalable web applications in Python

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Product type Paperback
Published in Jan 2015
Publisher Packt
ISBN-13 9781784398194
Length 198 pages
Edition 1st Edition
Languages
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Author (1):
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Massimiliano Pippi Massimiliano Pippi
Author Profile Icon Massimiliano Pippi
Massimiliano Pippi
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Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. A More Complex Application 3. Storing and Processing Users' Data 4. Improving Application Performance 5. Storing Data in Google Cloud SQL 6. Using Channels to Implement a Real-time Application 7. Building an Application with Django 8. Exposing a REST API with Google Cloud Endpoints Index

Chapter 6. Using Channels to Implement a Real-time Application

Web applications use the request/response message exchange pattern to communicate with the server. The communication flow always starts from the client (usually a web browser), initiating a request and a server that provides a response and closes the connection immediately after. This means that if we need to get information from a server as soon as they are available, our client has to actively and repeatedly request for them using a polling strategy, which is a simple but often ineffective solution. In fact, if the poll interval is short, we need to perform a lot of requests, which consumes time and bandwidth and overloads the server; on the other hand, if the poll interval is long, we cannot consider the delivery of the information as real time anymore.

Real-time interaction between clients and servers is a requirement for a large set of web applications such as collaborative editors, online multiplayer games, or...

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