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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

Connecting to the instance from our application

To connect with Cloud SQL instances from our Python code, we use the MySQLdb package, which is a MySQL driver that implements the Python Database API as described in the PEP 249 document. To install the package, we can use pip; from the command line, we issue the following command:

pip install MySQL-python

We don't specify the -t option as we did when installing GCS Client Library in Chapter 3, Storing and Processing Users' Data because the MySQLdb package is included in App Engine Python Runtime Environment on the production servers and we don't need to upload it during deployment. Instead, we list the package in the libraries section of the app.yaml file:

libraries:
- name: webapp2
  version: "2.5.2"

- name: jinja2
  version: latest

- name: MySQLdb
  version: latest

A simple test to check if the database connection is working correctly consists of retrieving and logging the Cloud SQL version number. We add a function...

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