Google Cloud Dataproc API client library
Project description
Google Cloud Dataproc API: Manages Hadoop-based clusters and jobs on Google Cloud Platform.
Quick Start
In order to use this library, you first need to go through the following steps:
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the Google Cloud Dataproc API.
- 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 version of this library compatible with Python 2.7 is google-cloud-dataproc==1.1.0.
Mac/Linux
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-dataproc
Windows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-dataproc
Next Steps
- Read the Client Library Documentation for Google Cloud Dataproc API API to see other available methods on the client.
- Read the Product documentation to learn more about the product and see How-to Guides.
Project details
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