NOTE:	This github repository is archived. The repository contents and history have moved to google-cloud-python.

Python Client for Google Cloud Dataproc API

Google Cloud Dataproc API: is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.

• Client Library Documentation
• Product Documentation

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 Google Cloud Dataproc API.
4. Setup Authentication.

Installation

Install this library in a virtual environment using venv. venv is a tool that creates isolated Python environments. These isolated environments can have separate versions of Python packages, which allows you to isolate one project's dependencies from the dependencies of other projects.

With venv, it's possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Code samples and snippets

Code samples and snippets live in the samples/ folder.

Supported Python Versions

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

Unsupported Python Versions

Python <= 3.6

If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.

Mac/Linux

python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-dataproc

Windows

py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-dataproc

Next Steps

• Read the Client Library Documentation for Google Cloud Dataproc API to see other available methods on the client.
• Read the Google Cloud Dataproc API Product documentation to learn more about the product and see How-to Guides.
• View this README to see the full list of Cloud APIs that we cover.