Skip to main content
2025 Python Packaging Survey is now live!  Take the survey now

Python Client for Google Cloud Datastore

Project description

Python idiomatic client for Google Cloud Datastore

pypi versions

Quick Start

$ pip install --upgrade google-cloud-datastore

Authentication

With google-cloud-python we try to make authentication as painless as possible. Check out the Authentication section in our documentation to learn more. You may also find the authentication document shared by all the google-cloud-* libraries to be helpful.

Using the API

Google Cloud Datastore (Datastore API docs) 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.

See the google-cloud-python API datastore documentation to learn how to interact with the Cloud Datastore using this Client Library.

See the official Google Cloud Datastore documentation for more details on how to activate Cloud Datastore for your project.

from google.cloud import datastore
# Create, populate and persist an entity
entity = datastore.Entity(key=datastore.Key('EntityKind'))
entity.update({
    'foo': u'bar',
    'baz': 1337,
    'qux': False,
})
# Then query for entities
query = datastore.Query(kind='EntityKind')
for result in query.fetch():
    print(result)

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page