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‎packages/bigquery-magics/docs/README.rst‎

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‎packages/bigquery-magics/docs/README.rst‎

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IPython Magics for BigQuery
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===========================
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|GA| |pypi| |versions|
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Querying massive datasets can be time consuming and expensive without the
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right hardware and infrastructure. Google `BigQuery`_ solves this problem by
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enabling super-fast, SQL queries against append-mostly tables, using the
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processing power of Google's infrastructure.
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- `Library Documentation`_
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- `Product Documentation`_
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.. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
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:target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
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.. |pypi| image:: https://img.shields.io/pypi/v/bigquery-magics.svg
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:target: https://pypi.org/project/bigquery-magics/
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.. |versions| image:: https://img.shields.io/pypi/pyversions/bigquery-magics.svg
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:target: https://pypi.org/project/bigquery-magics/
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.. _BigQuery: https://cloud.google.com/bigquery/what-is-bigquery
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.. _Library Documentation: https://googleapis.dev/python/bigquery-magics/latest
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.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/
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Quick Start
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-----------
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In order to use this library, you first need to go through the following steps:
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1. `Select or create a Cloud Platform project.`_
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2. `Enable billing for your project.`_
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3. `Enable the Google Cloud BigQuery API.`_
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4. `Setup Authentication.`_
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.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
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.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
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.. _Enable the Google Cloud BigQuery API.: https://cloud.google.com/bigquery
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.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
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Installation
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~~~~~~~~~~~~
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Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
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create isolated Python environments. The basic problem it addresses is one of
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dependencies and versions, and indirectly permissions.
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With `virtualenv`_, it's possible to install this library without needing system
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install permissions, and without clashing with the installed system
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dependencies.
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.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
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Supported Python Versions
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^^^^^^^^^^^^^^^^^^^^^^^^^
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Python >= 3.9
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Unsupported Python Versions
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Python <= 3.8.
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Mac/Linux
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^^^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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source <your-env>/bin/activate
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<your-env>/bin/pip install bigquery-magics
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Windows
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^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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<your-env>\Scripts\activate
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<your-env>\Scripts\pip.exe install bigquery-magics
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Example Usage
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-------------
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To use these magics, you must first register them. Run the ``%load_ext bigquery_magics``
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in a Jupyter notebook cell.
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.. code-block::
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%load_ext bigquery_magics
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Perform a query
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~~~~~~~~~~~~~~~
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.. code:: python
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%%bigquery
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SELECT name, SUM(number) as count
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FROM 'bigquery-public-data.usa_names.usa_1910_current'
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GROUP BY name
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ORDER BY count DESC
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LIMIT 3

‎packages/db-dtypes/docs/README.rst‎

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‎packages/db-dtypes/docs/README.rst‎

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Pandas Data Types for SQL systems (BigQuery, Spanner)
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=====================================================
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|ga| |pypi| |versions|
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`Pandas extension data types`_ for data from SQL systems such as `BigQuery`_.
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- `Library Documentation`_
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.. |ga| image:: https://img.shields.io/badge/support-GA-gold.svg
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:target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
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.. |pypi| image:: https://img.shields.io/pypi/v/db-dtypes.svg
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:target: https://pypi.org/project/db-dtypes/
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.. |versions| image:: https://img.shields.io/pypi/pyversions/db-dtypes.svg
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:target: https://pypi.org/project/db-dtypes/
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.. _Pandas extension data types: https://pandas.pydata.org/docs/development/extending.html#extension-types
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.. _BigQuery: https://cloud.google.com/bigquery/docs/
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.. _Library Documentation: https://googleapis.dev/python/db-dtypes/latest
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Installation
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------------
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Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
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create isolated Python environments. The basic problem it addresses is one of
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dependencies and versions, and indirectly permissions.
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With `virtualenv`_, it's possible to install this library without needing system
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install permissions, and without clashing with the installed system
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dependencies.
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.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
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Supported Python Versions
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^^^^^^^^^^^^^^^^^^^^^^^^^
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Python >= 3.9
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Unsupported Python Versions
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Python <= 3.8.
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Mac/Linux
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^^^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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source <your-env>/bin/activate
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<your-env>/bin/pip install db-dtypes
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Windows
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^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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<your-env>\Scripts\activate
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<your-env>\Scripts\pip.exe install db-dtypes

‎packages/google-auth-httplib2/docs/README.rst‎

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‎packages/google-auth-httplib2/docs/README.rst‎

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``httplib2`` Transport for Google Auth
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======================================
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.. image:: https://img.shields.io/badge/status-deprecated-red.svg
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:target: https://github.com/httplib2/httplib2
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The library was created to help clients migrate from `oauth2client <https://github.com/googleapis/oauth2client>`_ to `google-auth`_, however this library is no longer maintained. For any new usages please see provided transport layers by `google-auth`_ library.
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Documentation
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-------------
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`httplib2 Transport for Google Auth Documentation`_
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Introduction
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------------
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|pypi|
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This library provides an `httplib2`_ transport for `google-auth`_.
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.. note:: ``httplib`` has lots of problems such as lack of threadsafety
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and insecure usage of TLS. Using it is highly discouraged. This
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library is intended to help existing users of ``oauth2client`` migrate to
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``google-auth``.
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.. |pypi| image:: https://img.shields.io/pypi/v/google-auth-httplib2.svg
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:target: https://pypi.python.org/pypi/google-auth-httplib2
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.. _httplib2: https://github.com/httplib2/httplib2
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.. _httplib2 Transport for Google Auth Documentation: https://googleapis.dev/python/google-auth-httplib2/latest
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.. _google-auth: https://github.com/GoogleCloudPlatform/google-auth-library-python/
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Installing
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----------
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You can install using `pip`_::
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$ pip install google-auth-httplib2
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.. _pip: https://pip.pypa.io/en/stable/
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License
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-------
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Apache 2.0 - See `the LICENSE`_ for more information.
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.. _the LICENSE: https://github.com/GoogleCloudPlatform/google-auth-library-python/blob/main/LICENSE

‎packages/google-cloud-bigquery/docs/README.rst‎

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‎packages/google-cloud-bigquery/docs/README.rst‎

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Python Client for Google BigQuery
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=================================
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|GA| |pypi| |versions|
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Querying massive datasets can be time consuming and expensive without the
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right hardware and infrastructure. Google `BigQuery`_ solves this problem by
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enabling super-fast, SQL queries against append-mostly tables, using the
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processing power of Google's infrastructure.
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- `Client Library Documentation`_
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- `Product Documentation`_
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.. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
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:target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
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.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery.svg
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:target: https://pypi.org/project/google-cloud-bigquery/
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.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery.svg
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:target: https://pypi.org/project/google-cloud-bigquery/
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.. _BigQuery: https://cloud.google.com/bigquery/what-is-bigquery
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.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigquery/latest/summary_overview
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.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/
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Quick Start
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-----------
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In order to use this library, you first need to go through the following steps:
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1. `Select or create a Cloud Platform project.`_
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2. `Enable billing for your project.`_
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3. `Enable the Google Cloud BigQuery API.`_
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4. `Setup Authentication.`_
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.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
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.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
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.. _Enable the Google Cloud BigQuery API.: https://cloud.google.com/bigquery
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.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
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Installation
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~~~~~~~~~~~~
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Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
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create isolated Python environments. The basic problem it addresses is one of
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dependencies and versions, and indirectly permissions.
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With `virtualenv`_, it's possible to install this library without needing system
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install permissions, and without clashing with the installed system
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dependencies.
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.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
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Supported Python Versions
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^^^^^^^^^^^^^^^^^^^^^^^^^
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Python >= 3.9
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Unsupported Python Versions
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Python == 2.7, Python == 3.5, Python == 3.6, Python == 3.7, and Python == 3.8.
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The last version of this library compatible with Python 2.7 and 3.5 is
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`google-cloud-bigquery==1.28.0`.
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Mac/Linux
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^^^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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source <your-env>/bin/activate
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<your-env>/bin/pip install google-cloud-bigquery
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Windows
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^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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<your-env>\Scripts\activate
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<your-env>\Scripts\pip.exe install google-cloud-bigquery
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Example Usage
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-------------
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Perform a query
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~~~~~~~~~~~~~~~
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.. code:: python
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from google.cloud import bigquery
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client = bigquery.Client()
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# Perform a query.
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QUERY = (
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'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` '
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'WHERE state = "TX" '
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'LIMIT 100')
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query_job = client.query(QUERY) # API request
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rows = query_job.result() # Waits for query to finish
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for row in rows:
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print(row.name)
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Instrumenting With OpenTelemetry
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--------------------------------
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This application uses `OpenTelemetry`_ to output tracing data from
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API calls to BigQuery. To enable OpenTelemetry tracing in
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the BigQuery client the following PyPI packages need to be installed:
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.. _OpenTelemetry: https://opentelemetry.io
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.. code-block:: console
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pip install google-cloud-bigquery[opentelemetry] opentelemetry-exporter-gcp-trace
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After installation, OpenTelemetry can be used in the BigQuery
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client and in BigQuery jobs. First, however, an exporter must be
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specified for where the trace data will be outputted to. An
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example of this can be found here:
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.. code-block:: python
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from opentelemetry import trace
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import BatchSpanProcessor
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from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
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tracer_provider = TracerProvider()
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tracer_provider = BatchSpanProcessor(CloudTraceSpanExporter())
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trace.set_tracer_provider(TracerProvider())
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In this example all tracing data will be published to the Google
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`Cloud Trace`_ console. For more information on OpenTelemetry, please consult the `OpenTelemetry documentation`_.
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.. _OpenTelemetry documentation: https://opentelemetry-python.readthedocs.io
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.. _Cloud Trace: https://cloud.google.com/trace

‎packages/google-cloud-core/docs/README.rst‎

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