Metadata-Version: 2.1
Name: google-cloud-bigquery
Version: 1.24.0
Summary: Google BigQuery 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
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.*
Requires-Dist: google-auth (<2.0dev,>=1.9.0)
Requires-Dist: google-api-core (<2.0dev,>=1.15.0)
Requires-Dist: google-cloud-core (<2.0dev,>=1.1.0)
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Requires-Dist: six (<2.0.0dev,>=1.13.0)
Requires-Dist: enum34 ; python_version < "3.4"
Provides-Extra: all
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Python Client for Google BigQuery
=================================

|GA| |pypi| |versions| 

Querying massive datasets can be time consuming and expensive without the
right hardware and infrastructure. Google `BigQuery`_ solves this problem by
enabling super-fast, SQL queries against append-mostly tables, using the
processing power of Google's infrastructure.

-  `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.svg
   :target: https://pypi.org/project/google-cloud-bigquery/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery.svg
   :target: https://pypi.org/project/google-cloud-bigquery/
.. _BigQuery: https://cloud.google.com/bigquery/what-is-bigquery
.. _Client Library Documentation: https://googleapis.dev/python/bigquery/latest
.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/

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 BigQuery 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 BigQuery API.:  https://cloud.google.com/bigquery
.. _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


Windows
^^^^^^^

.. code-block:: console

    pip install virtualenv
    virtualenv <your-env>
    <your-env>\Scripts\activate
    <your-env>\Scripts\pip.exe install google-cloud-bigquery

Example Usage
-------------

Perform a query
~~~~~~~~~~~~~~~

.. code:: python

    from google.cloud import bigquery

    client = bigquery.Client()

    # Perform a query.
    QUERY = (
        'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` '
        'WHERE state = "TX" '
        'LIMIT 100')
    query_job = client.query(QUERY)  # API request
    rows = query_job.result()  # Waits for query to finish

    for row in rows:
        print(row.name)


