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billyjacobson Cloud Bigtable writes samples (#2201)
* Bigtable write samples

* Cleaning up test

* Fixing lint issues

* Fixing imports in test

* Cleaning up samples and showing error handling

* removing note about the row commit bug

* Add fixture to write test

* Use test fixtures to create and delete test tables.
Latest commit 950d97a Jun 26, 2019


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 directory contains samples that demonstrate using the Google Cloud Client Library for Python as well as the Google Cloud Client Library HappyBase package 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

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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