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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

Processing long jobs with the task queue

App Engine provides a mechanism called request timer to ensure that requests from a client have a finite lifespan, avoiding infinite loops and preventing an overly aggressive use of the resources from an application. In particular, the request timer raises a DeadlineExceededError error whenever a request takes more than 60 seconds to complete. We have to take this into consideration if our application provides functionalities that involve complex queries, I/O operations, or image processing. This is the case of the ShrinkHandler class from the previous paragraph: the number of notes to be loaded and the attached images to be processed could be big enough to make the request last more than 60 seconds. In such cases, we can use the task queue, which is a service provided by App Engine that lets us execute operations outside the request / response cycle with a wider time limit of 10 minutes.

There are two types of task queue: push queues, which are used...

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