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Google Cloud Bigtable API client library

Project description

GA pypi versions

Google Cloud Bigtable is Google’s NoSQL Big Data database service. It’s the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

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 Cloud Bigtable 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.

Supported Python Versions

Python >= 3.6

Deprecated Python Versions

  • Python 2.7: the last released version which supported Python 2.7 was version 1.7.0, released 2021-02-09.

  • Python 3.5: the last released version which supported Python 3.5 was version 1.7.0, released 2021-02-09.

Mac/Linux

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

Windows

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

Next Steps

google-cloud-happybase

In addition to the core google-cloud-bigtable, we provide a google-cloud-happybase library with the same interface as the popular HappyBase library. Unlike HappyBase, google-cloud-happybase uses google-cloud-bigtable under the covers, rather than Apache HBase.

Supported by

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