Beta)
Python Client for BigQuery Storage API (Quick Start
In order to use this library, you first need to go through the following steps:
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the BigQuery Storage API.
- 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
- 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.