Skip to main content

Google Cloud Dataproc API client library

Project description

ga pypi versions

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:

  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 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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google-cloud-dataproc-3.1.0.tar.gz (165.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

google_cloud_dataproc-3.1.0-py2.py3-none-any.whl (187.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file google-cloud-dataproc-3.1.0.tar.gz.

File metadata

  • Download URL: google-cloud-dataproc-3.1.0.tar.gz
  • Upload date:
  • Size: 165.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for google-cloud-dataproc-3.1.0.tar.gz
Algorithm Hash digest
SHA256 c2cf9be1c8f7cb7b4b58323aff98730e89fa462f4801bf70ae984933fa8a92d1
MD5 b3cd2e3083c82b2458ced3462e0cbd21
BLAKE2b-256 47f42cf08780ec221860940b1c997311ce23420cd0b0444a552cb96d2adb06e5

See more details on using hashes here.

File details

Details for the file google_cloud_dataproc-3.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: google_cloud_dataproc-3.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 187.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for google_cloud_dataproc-3.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 63cc8f989b4b0061cd4aab1c95e570a0f90b628ca29cd66373db228b5a7b48c4
MD5 fffbb38548b1cc75fd80924a76802b9a
BLAKE2b-256 de8c606d4a5a1067a0d824ba8678407d40add5424f560250c07df053963b5b4a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page