Python Client for BigQuery Data Transfer

|stable| |pypi| |versions|

BigQuery Data Transfer_: allows users to transfer data from partner SaaS applications to Google BigQuery on a scheduled, managed basis.

• Client Library Documentation_
• Product Documentation_

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels .. |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: https://cloud.google.com/bigquery/transfer/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigquerydatatransfer/latest .. _Product Documentation: https://cloud.google.com/bigquery/transfer/

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 BigQuery Data Transfer._
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 BigQuery Data Transfer.: https://cloud.google.com/bigquery/transfer/ .. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html

Installation

Install this library in a virtual environment using `venv`_. `venv`_ is a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project's dependencies
from the dependencies of other projects.

With `venv`_, it's possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.

.. _`venv`: https://docs.python.org/3/library/venv.html


Code samples and snippets

Code samples and snippets live in the samples/_ folder.

.. _samples/: https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-bigquery-datatransfer/samples

Supported Python Versions ^^^^^^^^^^^^^^^^^^^^^^^^^ Our client libraries are compatible with all current active_ and maintenance_ versions of Python.

Python >= 3.7

.. _active: https://devguide.python.org/devcycle/#in-development-main-branch .. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches

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.

.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches

Mac/Linux ^^^^^^^^^

.. code-block:: console

python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-datatransfer

Windows ^^^^^^^

.. code-block:: console

py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-datatransfer

Next Steps

-  Read the `Client Library Documentation`_ for BigQuery Data Transfer
   to see other available methods on the client.
-  Read the `BigQuery Data Transfer Product documentation`_ to learn
   more about the product and see How-to Guides.
-  View this `README`_ to see the full list of Cloud
   APIs that we cover.

.. _BigQuery Data Transfer Product documentation:  https://cloud.google.com/bigquery/transfer/
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst