As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Python Client for Datastream

alpha pypi versions

Datastream: Serverless and easy-to-use change data capture and replication service.

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 Datastream 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.

Mac/Linux

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

Windows

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

Next Steps

Note

Because this client uses grpc library, it is safe to share instances across threads. In multiprocessing scenarios, the best practice is to create client instances after the invocation of os.fork() by multiprocessing.pool.Pool or multiprocessing.Process.

This package includes clients for multiple versions of Datastream. By default, you will get version datastream_v1.

API Reference

API Reference

Changelog

For a list of all google-cloud-datastream releases: