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.

Setup

Authentication

Authentication is typically done through Application Default Credentials, which means you do not have to change the code to authenticate as long as your environment has credentials. You have a few options for setting up authentication:

1. When running locally, use the Google Cloud SDK

   gcloud beta auth application-default login

2. When running on App Engine or Compute Engine, credentials are already set-up. However, you may need to configure your Compute Engine instance with additional scopes.

3. You can create a Service Account key file. This file can be used to authenticate to Google Cloud Platform services from any environment. To use the file, set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path to the key file, for example:

   export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account.json

Install Dependencies

1. Install pip and virtualenv if you do not already have them.

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

   $ virtualenv env
   $ source env/bin/activate

3. Install the dependencies needed to run the samples.

   $ pip install -r requirements.txt

Samples

Basic example

To run this sample:

$ python main.py

usage: main.py [-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.
https://cloud.google.com/bigtable/docs/creating-cluster - Set your Google
Application Default Credentials.
https://developers.google.com/identity/protocols/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`_.