Metadata-Version: 1.2
Name: google-cloud-bigquery-datatransfer
Version: 1.1.1
Summary: BigQuery Data Transfer API client library
Home-page: https://github.com/googleapis/python-bigquery-datatransfer
Author: Google LLC
Author-email: googleapis-packages@google.com
License: Apache 2.0
Description: Python Client for BigQuery Data Transfer API
        ============================================
        
        |GA| |pypi| |versions| 
        
        The `BigQuery Data Transfer API`_ allows users to transfer data from partner
        SaaS applications to Google BigQuery on a scheduled, managed basis.
        
        - `Client Library Documentation`_
        - `Product Documentation`_
        
        .. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
           :target: https://github.com/googleapis/google-cloud-python/blob/master/README.rst#general-availability
        .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery-datatransfer.svg
           :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/
        .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery-datatransfer.svg
           :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/
        .. _BigQuery Data Transfer API: https://cloud.google.com/bigquery/transfer
        .. _Client Library Documentation: https://googleapis.dev/python/bigquerydatatransfer/latest
        .. _Product Documentation:  https://cloud.google.com/bigquery/docs/transfer-service-overview
        
        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 the BigQuery Data Transfer API.`_
        3. `Setup Authentication.`_
        
        .. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
        .. _Enable the BigQuery Data Transfer API.:  https://cloud.google.com/bigquery/docs/transfer-service-overview
        .. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/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/
        
        
        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
        ^^^^^^^^^
        
        .. code-block:: console
        
            pip install virtualenv
            virtualenv <your-env>
            source <your-env>/bin/activate
            <your-env>/bin/pip install google-cloud-bigquery-datatransfer
        
        
        Windows
        ^^^^^^^
        
        .. code-block:: console
        
            pip install virtualenv
            virtualenv <your-env>
            <your-env>\Scripts\activate
            <your-env>\Scripts\pip.exe install google-cloud-bigquery-datatransfer
        
        Example Usage
        ~~~~~~~~~~~~~
        
        DataTransferServiceClient
        ^^^^^^^^^^^^^^^^^^^^^^^^^
        
        .. code:: py
        
            from google.cloud import bigquery_datatransfer_v1
        
            client = bigquery_datatransfer_v1.DataTransferServiceClient()
        
            parent = client.location_path('[PROJECT]', '[LOCATION]')
        
        
            # Iterate over all results
            for element in client.list_data_sources(parent):
                # process element
                pass
        
            # Or iterate over results one page at a time
            for page in client.list_data_sources(parent).pages:
                for element in page:
                    # process element
                    pass
        
        Next Steps
        ~~~~~~~~~~
        
        -  Read the `Client Library Documentation`_ for BigQuery Data Transfer 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.
        
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 5 - Production/Stable
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 :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Classifier: Topic :: Internet
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
