Python Client for BigQuery Storage API

BigQuery Storage API:

• Client Library Documentation
• Product Documentation

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 >= 3.6

Unsupported Python Versions

Python == 2.7, Python == 3.5.

The last version of this library compatible with Python 2.7 and 3.5 is google-cloud-bigquery-storage==1.1.0.

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 Arrow blocks in a read_rows() stream using pyarrow.

  pip install 'google-cloud-bigquery-storage[pyarrow]'

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

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

• Download rows to a pandas dataframe.

  pip install 'google-cloud-bigquery-storage[pandas,pyarrow]'

Next Steps

• Read the Client Library Documentation for BigQuery Storage API API to see other available methods on the client.
• Read the BigQuery Storage API Product documentation to learn more about the product and see How-to Guides.
• View this repository’s main README to see the full list of Cloud APIs that we cover.