https://github.com/googleapis/python-bigquery

https://github.com/googleapis/python-bigquery

Last synced: 2 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/googleapis/python-bigquery
• Owner: googleapis
• License: apache-2.0
• Created: 2019-12-10T00:09:04.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-10-25T11:24:04.000Z (14 days ago)
• Last Synced: 2024-10-29T15:55:50.487Z (10 days ago)
• Language: Python
• Size: 9.71 MB
• Stars: 743
• Watchers: 55
• Forks: 302
• Open Issues: 70
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codeowners: .github/CODEOWNERS
  • Security: SECURITY.md

Awesome Lists containing this project

• best-of-python - GitHub - 7% open · ⏱️ 04.06.2024): (Database Clients)

README

        
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/main/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 >= 3.7

Unsupported Python Versions

^^^^^^^^^^^^^^^^^^^^^^^^^^^

Python == 2.7, Python == 3.5, Python == 3.6.

The last version of this library compatible with Python 2.7 and 3.5 is

`google-cloud-bigquery==1.28.0`.

Mac/Linux

^^^^^^^^^

.. code-block:: console

    pip install virtualenv

    virtualenv 

    source /bin/activate

    /bin/pip install google-cloud-bigquery

Windows

^^^^^^^

.. code-block:: console

    pip install virtualenv

    virtualenv 

    \Scripts\activate

    \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)

Instrumenting With OpenTelemetry

--------------------------------

This application uses `OpenTelemetry`_ to output tracing data from

API calls to BigQuery. To enable OpenTelemetry tracing in

the BigQuery client the following PyPI packages need to be installed:

.. _OpenTelemetry: https://opentelemetry.io

.. code-block:: console

    pip install google-cloud-bigquery[opentelemetry] opentelemetry-exporter-gcp-trace

After installation, OpenTelemetry can be used in the BigQuery

client and in BigQuery jobs. First, however, an exporter must be

specified for where the trace data will be outputted to. An

example of this can be found here:

.. code-block:: python

    from opentelemetry import trace

    from opentelemetry.sdk.trace import TracerProvider

    from opentelemetry.sdk.trace.export import BatchSpanProcessor

    from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter

    tracer_provider = TracerProvider()

    tracer_provider = BatchSpanProcessor(CloudTraceSpanExporter())

    trace.set_tracer_provider(TracerProvider())

In this example all tracing data will be published to the Google

`Cloud Trace`_ console. For more information on OpenTelemetry, please consult the `OpenTelemetry documentation`_.

.. _OpenTelemetry documentation: https://opentelemetry-python.readthedocs.io

.. _Cloud Trace: https://cloud.google.com/trace