Python Client for Google Cloud Dataproc API

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:

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 >= 3.5

Deprecated Python Versions

Python == 2.7. Python 2.7 support will be removed on January 1, 2020.

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

Example Usage

from 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).pages:
    for element in page:
        # process element
        pass

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.

Metadata

Release files for google-cloud-dataproc 0.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for google-cloud-dataproc 0.7.0
File	Size	Uploaded
google-cloud-dataproc-0.7.0.tar.gz	237.8 kB	Mar 5, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for google-cloud-dataproc 0.7.0
File	Interpreter	ABI	Platform	Reset
google_cloud_dataproc-0.7.0-py2.py3-none-any.whl 277.5 kB Mar 5, 2020	Python 3, Python 2	none	any	Details

Total release size: 515.3 kB

Release files / google-cloud-dataproc-0.7.0.tar.gz

Download URL	google-cloud-dataproc-0.7.0.tar.gz
Size	237.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`612f175466cb0dee45bc3e9157123ab59126e53f8baaa0bfa2095163ed52a279`
BLAKE2b-256 checksum How to use checksums	`c0c0430b1f172622c3576923460830d3a84fb0fc2227b9d33b49ec04610a3331`
Upload date	Mar 5, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.0`

Release files / google_cloud_dataproc-0.7.0-py2.py3-none-any.whl

Download URL	google_cloud_dataproc-0.7.0-py2.py3-none-any.whl
Size	277.5 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`76ddc28fa12193d9ad7fa0f84c1ab50a1d4b68a725219e33312fd0090c0a977a`
BLAKE2b-256 checksum How to use checksums	`58dcc42d191632d81d95ff82f539b12c9ebf26904b4ab3aa891b84953941e26f`
Upload date	Mar 5, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.0`