Python Client for Cloud Dataflow

Cloud Dataflow: Unified stream and batch data processing that's serverless, fast, and cost-effective.

• 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 APIs.
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.

Mac/Linux

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

Windows

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

Next Steps

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