google-cloud-bigquery-datatransfer

BigQuery Data Transfer API: Transfers 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.

Mac/Linux

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

Windows

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

Preview

DataTransferServiceClient

from google.cloud.bigquery import datatransfer_v1

client = 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, options=CallOptions(page_token=INITIAL_PAGE)):
    for element in page:
        # process element
        pass

Next Steps

Read the Client Library Documentation for BigQuery Data Transfer API API to see other available methods on the client.
Read the BigQuery Data Transfer 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.

Metadata

Release files for google-cloud-bigquery-datatransfer 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for google-cloud-bigquery-datatransfer 0.1.0
File	Size	Uploaded
google-cloud-bigquery-datatransfer-0.1.0.tar.gz	38.0 kB	Dec 15, 2017	Details

Built distribution (wheel)

Table of built distributions (wheels) for google-cloud-bigquery-datatransfer 0.1.0
File	Interpreter	ABI	Platform	Reset
google_cloud_bigquery_datatransfer-0.1.0-py2.py3-none-any.whl 37.9 kB Dec 15, 2017	Python 3, Python 2	none	any	Details

Total release size: 75.8 kB

Release files / google-cloud-bigquery-datatransfer-0.1.0.tar.gz

Download URL	google-cloud-bigquery-datatransfer-0.1.0.tar.gz
Size	38.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`789571cf89c1a8cdf45a10620998453f6ac600e219a2698782886147ec727902`
BLAKE2b-256 checksum How to use checksums	`5b2aafe228f54d078a2cfd3fd23b6e0934d4fdd72a54bf2d35fb86ecc0c85d5b`
Upload date	Dec 15, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / google_cloud_bigquery_datatransfer-0.1.0-py2.py3-none-any.whl

Download URL	google_cloud_bigquery_datatransfer-0.1.0-py2.py3-none-any.whl
Size	37.9 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`41be569f8605d62ef027aadc08c6d943bee5b53aac3503e8dbe8f61a537fdbe0`
BLAKE2b-256 checksum How to use checksums	`f05ed6b41f9fed976a3d75d69c5900c6238af7986120da89277db5ed4f7879cd`
Upload date	Dec 15, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No