Python Client for Google Cloud Datastore#

GA pypi versions

Google Cloud Datastore API is a fully managed, schemaless database for storing non-relational data. Cloud Datastore automatically scales with your users and supports ACID transactions, high availability of reads and writes, strong consistency for reads and ancestor queries, and eventual consistency for all other queries.

Quick Start#

In order to use this library, you first need to go through the following steps:

  1. Select or create a Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Google Cloud Datastore API.
  4. Setup Authentication.

Installation#

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Mac/Linux#

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-datastore

Windows#

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-datastore

Example Usage#

from google.cloud import datastore
# Create, populate and persist an entity with keyID=1234
client = datastore.Client()
key = client.key('EntityKind', 1234)
entity = datastore.Entity(key=key)
entity.update({
    'foo': u'bar',
    'baz': 1337,
    'qux': False,
})
client.put(entity)
# Then get by key for this entity
result = client.get(key)
print(result)

Next Steps#

Changelog#

For a list of all google-cloud-datastore releases: