Metadata-Version: 1.1
Name: google-cloud-dataproc
Version: 0.2.0
Summary: Google Cloud Dataproc API client library
Home-page: https://github.com/GoogleCloudPlatform/google-cloud-python
Author: Google LLC
Author-email: googleapis-packages@google.com
License: Apache 2.0
Description: Python Client for Google Cloud Dataproc API (`Alpha`_)
        ======================================================
        
        `Google Cloud Dataproc API`_: Manages Hadoop-based clusters and jobs on Google Cloud Platform.
        
        - `Client Library Documentation`_
        - `Product Documentation`_
        
        .. _Alpha: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/README.rst
        .. _Google Cloud Dataproc API: https://cloud.google.com/dataproc
        .. _Client Library Documentation: https://googlecloudplatform.github.io/google-cloud-python/latest/dataproc/usage.html
        .. _Product Documentation:  https://cloud.google.com/dataproc
        
        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.`_
        
        .. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
        .. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
        .. _Enable the Google Cloud Dataproc API.:  https://cloud.google.com/dataproc
        .. _Setup Authentication.: https://googlecloudplatform.github.io/google-cloud-python/latest/core/auth.html
        
        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.
        
        .. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
        
        
        Mac/Linux
        ^^^^^^^^^
        
        .. code-block:: console
        
            pip install virtualenv
            virtualenv <your-env>
            source <your-env>/bin/activate
            <your-env>/bin/pip install google-cloud-dataproc
        
        
        Windows
        ^^^^^^^
        
        .. code-block:: console
        
            pip install virtualenv
            virtualenv <your-env>
            <your-env>\Scripts\activate
            <your-env>\Scripts\pip.exe install google-cloud-dataproc
        
        Preview
        ~~~~~~~
        
        ClusterControllerClient
        ^^^^^^^^^^^^^^^^^^^^^^^
        
        .. code:: py
        
            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, options=CallOptions(page_token=INITIAL_PAGE)):
                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 `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.
        
        .. _Google Cloud Dataproc API Product documentation:  https://cloud.google.com/dataproc
        .. _repository’s main README: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/README.rst
        
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: Topic :: Internet
