root/alpine313/: google-cloud-dataproc-5.4.1 metadata and description

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Google Cloud Dataproc API client library

author Google LLC
author_email googleapis-packages@google.com
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Developers
  • License :: OSI Approved :: Apache Software License
  • Programming Language :: Python
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Operating System :: OS Independent
  • Topic :: Internet
license Apache 2.0
metadata_version 2.1
platform
  • Posix; MacOS X; Windows
requires_dist
  • google-api-core[grpc] (!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0)
  • proto-plus (<2.0.0dev,>=1.22.0)
  • protobuf (!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5)
  • grpc-google-iam-v1 (<1.0.0dev,>=0.12.4)
  • proto-plus (<2.0.0dev,>=1.22.2) ; python_version >= "3.11"
requires_python >=3.7
File Tox results History
google_cloud_dataproc-5.4.1-py2.py3-none-any.whl
Size
300 KB
Type
Python Wheel
Python
2.7

stable pypi versions

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

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.

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

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