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Python Client for Dataproc Metastore

Dataproc Metastore is a fully managed, highly available, autoscaled, autohealing, OSS-native metastore service that greatly simplifies technical metadata management. Dataproc Metastore service is based on Apache Hive metastore and serves as a critical component towards enterprise data lakes.

• 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 Dataproc Metastore Service.

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-dataproc-metastore

Windows

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

Next Steps

• Read the Client Library Documentation for Dataproc Metastore to see other available methods on the client.

• Read the Dataproc Metastore 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.