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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

Advanced use of Datastore

We have already learned a lot about Datastore so far, including how to define entity kinds with model classes, the property concept, and how to make simple queries.

There is a lot more we can do with the NDB Python API to optimize an application, as we will see shortly.

More on properties – arrange composite data with StructuredProperty

In our Notes application, we defined the CheckListItem model class to represent checkable items, and then we added a property to the Note model named checklist_items that references a list of that kind of entities. This is what we usually call a one-to-many relationship between notes and checklist items, and it is a common way to structure application data. By following this strategy, though, every time we add an item to a note, we have to create and store a new entity on Datastore. This is not a bad practice at all, but we have to take into consideration that we are charged for the use of Datastore depending on the number...

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