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Mastering Google App Engine

Mastering Google App Engine

3 (2)
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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

Chapter 3. Understanding the Datastore

Learning is hard, but unlearning something is even harder. The main reason why learning something hard is not because it is hard in and of itself, but for the fact that most of the time, you have to unlearn a lot in order to learn a little. This is quite true for the datastore. Basically, it is built to scale to the so-called Google scale. That's why, in order to be proficient with it, you will have to unlearn some of the things that you know. Your learning as a computer science student or a programmer has been deeply enriched by the relational model so much that it is natural to you. Anything else may seem quite hard to grasp, and this is the reason why learning Google datastore is quite hard.

However, if this were the only glitch in all that, things would have been way simpler because you could ask yourself to forget the relational world and consider the new paradigm afresh. Things have been complicated due to Google's own official...

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