Google Cloud Datastore Python Samples

This directory contains samples for Google Cloud Datastore. Google Cloud Datastore is a NoSQL document database built for automatic scaling, high performance, and ease of application development.

Setup

Authentication

Authentication is typically done through Application Default Credentials, which means you do not have to change the code to authenticate as long as your environment has credentials. You have a few options for setting up authentication:

When running locally, use the Google Cloud SDK
```
gcloud beta auth application-default login
```
When running on App Engine or Compute Engine, credentials are already set-up. However, you may need to configure your Compute Engine instance with additional scopes.
You can create a Service Account key file. This file can be used to authenticate to Google Cloud Platform services from any environment. To use the file, set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path to the key file, for example:
```
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account.json
```

Install Dependencies

Install pip and virtualenv if you do not already have them.
Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
```
$ virtualenv env
$ source env/bin/activate
```
Install the dependencies needed to run the samples.
```
$ pip install -r requirements.txt
```

Samples

Quickstart

To run this sample:

$ python quickstart.py

Tasks example app

To run this sample:

$ python tasks.py

Snippets

To run this sample:

$ python snippets.py

usage: snippets.py [-h] project_id

Demonstrates datastore API operations.

positional arguments:
  project_id  Your cloud project ID.

optional arguments:
  -h, --help  show this help message and exit

The client library

This sample uses the `Google Cloud Client Library for Python`_. You can read the documentation for more details on API usage and use GitHub to `browse the source`_ and `report issues`_.