README.rst

Python Client for Google Cloud Data Catalog API

Google Cloud Data Catalog API: Google Cloud Data Catalog API provides features to attach metadata to Google Cloud Platform resources like BigQuery Tables. Key critical resources include: Entries (Data Catalog representation of a cloud resource).

• 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 Google Cloud Data Catalog API.
4. Setup Authentication.

Supported Python Versions

Python >= 3.6

Deprecated Python Versions

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-datacatalog==1.0.0.

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-datacatalog

Windows

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

Next Steps

• Read the Client Library Documentation for Google Cloud Data Catalog API API to see other available methods on the client.
• Read the Google Cloud Data Catalog API 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.