Google Cloud Dataflow Client API client library
|preview| |pypi| |versions|
Dataflow
_: Unified stream and batch data processing that's serverless, fast, and cost-effective.
Client Library Documentation
_Product Documentation
_.. |preview| image:: https://img.shields.io/badge/support-preview-orange.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-dataflow-client.svg :target: https://pypi.org/project/google-cloud-dataflow-client/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataflow-client.svg :target: https://pypi.org/project/google-cloud-dataflow-client/ .. _Dataflow: https://cloud.google.com/dataflow/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataflow/latest .. _Product Documentation: https://cloud.google.com/dataflow/
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 Dataflow.
_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 Dataflow.: https://cloud.google.com/dataflow/ .. _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-dataflow-client/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-dataflow-client
Windows ^^^^^^^
.. code-block:: console
py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-dataflow-client
Next Steps
- Read the `Client Library Documentation`_ for Dataflow
to see other available methods on the client.
- Read the `Dataflow 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.
.. _Dataflow Product documentation: https://cloud.google.com/dataflow/
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst