Skip to main content

Google Cloud Bigquery Storage API client library

Project description

stable pypi versions

Google BigQuery Storage API:

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 BigQuery Storage API.

  4. Setup Authentication.

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.

Code samples and snippets

Code samples and snippets live in the samples/ folder.

Supported Python Versions

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

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.

Mac/Linux

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

Windows

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

Next Steps

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google_cloud_bigquery_storage-2.27.0.tar.gz (240.4 kB view details)

Uploaded Source

Built Distribution

google_cloud_bigquery_storage-2.27.0-py2.py3-none-any.whl (240.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file google_cloud_bigquery_storage-2.27.0.tar.gz.

File metadata

File hashes

Hashes for google_cloud_bigquery_storage-2.27.0.tar.gz
Algorithm Hash digest
SHA256 522faba9a68bea7e9857071c33fafce5ee520b7b175da00489017242ade8ec27
MD5 cc485f61c3a9a92957b41a1f196fcecf
BLAKE2b-256 d395bba26f6cdc3576496cbcaa070627a289f2cbdc39e3f6a2ed47ccdb89f942

See more details on using hashes here.

File details

Details for the file google_cloud_bigquery_storage-2.27.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_bigquery_storage-2.27.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3bfa8f74a61ceaffd3bfe90be5bbef440ad81c1c19ac9075188cccab34bffc2b
MD5 6ac7252712b9d841a740c21e7e34b83f
BLAKE2b-256 9fedb7a74ae48435854ec2352f58c21e358df14458bafe4b0d237a8649326f9c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page