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google-cloud-dataproc-metastore
Readme
|stable| |pypi| |versions|
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
_.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-dataproc-metastore.svg :target: https://pypi.org/project/google-cloud-dataproc-metastore/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataproc-metastore.svg :target: https://pypi.org/project/google-cloud-dataproc-metastore/ .. _Dataproc Metastore: https://cloud.google.com/dataproc-metastore/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/metastore/latest .. _Product Documentation: https://cloud.google.com/dataproc-metastore/
In order to use this library, you first need to go through the following steps:
Select or create a Cloud Platform project.
_Enable billing for your project.
_Enable the Dataproc Metastore.
_Setup Authentication.
_.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project .. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project .. _Enable the Dataproc Metastore.: https://cloud.google.com/dataproc-metastore/ .. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
Installation
Install this library in a virtual environment using `venv`_. `venv`_ is a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project's dependencies
from the dependencies of other projects.
With `venv`_, it's possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.
.. _`venv`: https://docs.python.org/3/library/venv.html
Code samples and snippets
Code samples and snippets live in the samples/
_ folder.
.. _samples/: https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-dataproc-metastore/samples
Supported Python Versions
^^^^^^^^^^^^^^^^^^^^^^^^^
Our client libraries are compatible with all current active
_ and maintenance
_ versions of
Python.
Python >= 3.7
.. _active: https://devguide.python.org/devcycle/#in-development-main-branch .. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches
Unsupported Python Versions ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 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.
.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches
Mac/Linux ^^^^^^^^^
.. code-block:: console
python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-dataproc-metastore
Windows ^^^^^^^
.. code-block:: console
py -m venv <your-env>
.\<your-env>\Scripts\activate
pip 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.
.. _Dataproc Metastore Product documentation: https://cloud.google.com/dataproc-metastore/
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
FAQs
Google Cloud Dataproc Metastore API client library
We found that google-cloud-dataproc-metastore demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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Streamline your login process and enhance security by enabling Single Sign-On (SSO) on the Socket platform, now available for all customers on the Enterprise plan, supporting 20+ identity providers.
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