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Google Cloud Bigtable Python Samples

This directory contains samples for Google Cloud Bigtable. 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.

This sample demonstrates using the Google Cloud Client Library HappyBase package, an implementation of the HappyBase API to connect to and interact with Cloud Bigtable.



This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.

Install Dependencies

  1. Clone python-docs-samples and change directory to the sample directory you want to use.

    $ git clone
  2. Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud Platform for instructions.

  3. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.

    $ virtualenv env
    $ source env/bin/activate
  4. Install the dependencies needed to run the samples.

    $ pip install -r requirements.txt


Basic example

To run this sample:

$ python

usage: [-h] [--table TABLE] project_id instance_id

Demonstrates how to connect to Cloud Bigtable and run some basic operations.
Prerequisites: - Create a Cloud Bigtable cluster. - Set your Google
Application Default Credentials.

positional arguments:
  project_id     Your Cloud Platform project ID.
  instance_id    ID of the Cloud Bigtable instance to connect to.

optional arguments:
  -h, --help     show this help message and exit
  --table TABLE  Table to create and destroy. (default: Hello-Bigtable)

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.

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