BigQuery Data Transfer API client library
Project description
The BigQuery Data Transfer API allows users to transfer data from partner SaaS applications to Google BigQuery on a scheduled, managed basis.
Quick Start
In order to use this library, you first need to go through the following steps:
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-datatransferWindows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-bigquery-datatransferExample Usage
DataTransferServiceClient
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.location_path('[PROJECT]', '[LOCATION]')
# Iterate over all results
for element in client.list_data_sources(parent):
# process element
pass
# Or iterate over results one page at a time
for page in client.list_data_sources(parent).pages:
for element in page:
# process element
passNext Steps
Read the Client Library Documentation for BigQuery Data Transfer API API to see other available methods on the client.
Read the Product documentation to learn more about the product and see How-to Guides.
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