Skip to content
Branch: master
Find file History
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
..
Failed to load latest commit information.
docs
google
samples
tests
.coveragerc
.flake8
.gitignore
.repo-metadata.json
CHANGELOG.md
LICENSE
MANIFEST.in
README.rst
noxfile.py
setup.cfg
setup.py
synth.metadata
synth.py

README.rst

Python Client for BigQuery Storage API (Beta)

compat_check_pypi compat_check_github

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 BigQuery Storage API.
  4. Setup Authentication.

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.

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

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-bigquery-storage

Windows

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

Optional Dependencies

Several features of google-cloud-bigquery-storage require additional dependencies.

  • Parse Avro blocks in a read_rows() stream using fastavro.

    pip install google-cloud-bigquery-storage[fastavro]

  • Write rows to a pandas dataframe.

    pip install google-cloud-bigquery-storage[pandas,fastavro]

Next Steps

You can’t perform that action at this time.