{ "info": { "author": "Google LLC", "author_email": "googleapis-packages@google.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Internet" ], "description": "Python Client for Google Cloud Dataproc API\n===========================================\n\n|alpha| |pypi| |versions| |compat_check_pypi| |compat_check_github|\n\n`Google Cloud Dataproc API`_: Manages Hadoop-based clusters and jobs on Google Cloud Platform.\n\n- `Client Library Documentation`_\n- `Product Documentation`_\n\n.. |alpha| image:: https://img.shields.io/badge/support-alpha-orange.svg\n :target: https://github.com/googleapis/google-cloud-python/blob/master/README.rst#alpha-support\n.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-dataproc.svg\n :target: https://pypi.org/project/google-cloud-dataproc/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataproc.svg\n :target: https://pypi.org/project/google-cloud-dataproc/\n.. |compat_check_pypi| image:: https://python-compatibility-tools.appspot.com/one_badge_image?package=google-cloud-dataproc\n :target: https://python-compatibility-tools.appspot.com/one_badge_target?package=google-cloud-dataproc\n.. |compat_check_github| image:: https://python-compatibility-tools.appspot.com/one_badge_image?package=git%2Bgit%3A//github.com/googleapis/google-cloud-python.git%23subdirectory%3Ddataproc\n :target: https://python-compatibility-tools.appspot.com/one_badge_target?package=git%2Bgit%3A//github.com/googleapis/google-cloud-python.git%23subdirectory%3Ddataproc\n.. _Google Cloud Dataproc API: https://cloud.google.com/dataproc\n.. _Client Library Documentation: https://googleapis.dev/python/dataproc/latest\n.. _Product Documentation: https://cloud.google.com/dataproc\n\nQuick Start\n-----------\n\nIn order to use this library, you first need to go through the following steps:\n\n1. `Select or create a Cloud Platform project.`_\n2. `Enable billing for your project.`_\n3. `Enable the Google Cloud Dataproc API.`_\n4. `Setup Authentication.`_\n\n.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project\n.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project\n.. _Enable the Google Cloud Dataproc API.: https://cloud.google.com/dataproc\n.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html\n\nInstallation\n~~~~~~~~~~~~\n\nInstall this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to\ncreate isolated Python environments. The basic problem it addresses is one of\ndependencies and versions, and indirectly permissions.\n\nWith `virtualenv`_, it's possible to install this library without needing system\ninstall permissions, and without clashing with the installed system\ndependencies.\n\n.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/\n\n\nSupported Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^\nPython >= 3.5\n\nDeprecated Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^^\nPython == 2.7. Python 2.7 support will be removed on January 1, 2020.\n\n\nMac/Linux\n^^^^^^^^^\n\n.. code-block:: console\n\n pip install virtualenv\n virtualenv \n source /bin/activate\n /bin/pip install google-cloud-dataproc\n\n\nWindows\n^^^^^^^\n\n.. code-block:: console\n\n pip install virtualenv\n virtualenv \n \\Scripts\\activate\n \\Scripts\\pip.exe install google-cloud-dataproc\n\nExample Usage\n~~~~~~~~~~~~~\n\n.. code:: py\n\n from google.cloud import dataproc_v1\n\n client = dataproc_v1.ClusterControllerClient()\n\n project_id = ''\n region = ''\n\n\n # Iterate over all results\n for element in client.list_clusters(project_id, region):\n # process element\n pass\n\n # Or iterate over results one page at a time\n for page in client.list_clusters(project_id, region).pages:\n for element in page:\n # process element\n pass\n\nNext Steps\n~~~~~~~~~~\n\n- Read the `Client Library Documentation`_ for Google Cloud Dataproc API\n API to see other available methods on the client.\n- Read the 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