googleapis/python-dataproc-metastore: This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-dataproc-metastore · GitHub

Dataproc Metastore API: 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

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 API.
4. Setup Authentication.

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.

Code samples and snippets live in the samples/ folder.

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

Python <= 3.6

If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.

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

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

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