Python Client for Google Cloud Dataproc API (Alpha)
Google Cloud Dataproc API: Manages Hadoop-based clusters and jobs on Google Cloud Platform.
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.
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.
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-dataprocpip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-dataprocfrom google.cloud import dataproc_v1
client = dataproc_v1.ClusterControllerClient()
project_id = ''
region = ''
# Iterate over all results
for element in client.list_clusters(project_id, region):
# process element
pass
# Or iterate over results one page at a time
for page in client.list_clusters(project_id, region, options=CallOptions(page_token=INITIAL_PAGE)):
for element in page:
# process element
pass- Read the Client Library Documentation for Google Cloud Dataproc API 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 repository’s main README to see the full list of Cloud APIs that we cover.