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  • Mastering Google App Engine
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Mastering Google App Engine

Mastering Google App Engine

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Mastering Google App Engine

Mastering Google App Engine

3 (2)

Overview of this book

Developing web applications that serve millions of users is no easy task, as it involves a number of configurations and administrative tasks for the underlying software and hardware stack. This whole configuration requires not only expertise, but also a fair amount of time as well. Time that could have been spent on actual application functionality. Google App Engine allows you develop highly scalable web applications or backends for mobile applications without worrying about the system administration plumbing or hardware provisioning issues. Just focus writing on your business logic, the meat of the application, and let Google's powerful infrastructure scale it to thousands of requests per second and millions of users without any effort on your part. This book takes you from explaining how scalable applications work to designing and developing robust scalable web applications of your own, utilizing services available on Google App Engine. Starting with a walkthrough of scalability is and how scalable web applications work, this book introduces you to the environment under which your applications exist on Google App Engine. Next, you will learn about Google's datastore, which is a massively scalable distributed NoSQL solution built on top of BigTable. You will examine the BigTable concepts and operations in detail and reveal how it is used to build Google datastore. Armed with this knowledge, you will then advance towards how to best model your data and query that along with transactions. To augment the powerful distributed dataset, you will deep dive into search functionality offered on Google App Engine. With the search and storage sorted out, you will get a look into performing long running tasks in the background using Google App Engine task queues along with sending and receiving emails. You will also examine the memcache to boost web application performance, image processing for common image manipulation tasks. You will then explore uploading, storing, and serving large files using Blobstore and Cloud storage. Finally, you will be presented with the deployment and monitoring of your applications in production along with a detailed look at dividing applications into different working modules.
Table of Contents (12 chapters)
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11
Index

Sorting


Now we are comfortable with querying the data, it is time to put it in some desirable order. That is, sorting the results. How do we do that? Our old friend search.QueryOptions takes a keyword argument called sort_options. We just have to supply that and we are done. Okay, so the question is what this sort_options argument would be?

It's actually an instance of search.SortOptions class which takes a single argument called expressions. What is expressions then? It is just a list of search.SortExpression instances where search.SortExpression constructor takes some keyword arguments which define the sorting behavior.

All this seems bit complicated so let's take another look.

  • Whenever you are going to sort, you are either going to sort on a field or a calculated value. For example, you might want to sort on price, which is just a field or price per square feet that is a calculated field obtained by dividing price to size field.

  • But that was just for the value but as we know it is not mandatory...

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