Python Client for Google Cloud Memorystore for Redis API¶
Google Cloud Memorystore for Redis API: The Google Cloud Memorystore for Redis API is used for creating and managing Redis instances on the Google Cloud Platform.
Quick Start¶
In order to use this library, you first need to go through the following steps:
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.
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-redis==1.0.0.
Mac/Linux¶
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-redis
Windows¶
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-redis
Next Steps¶
Read the Client Library Documentation for Google Cloud Memorystore for Redis API to see other available methods on the client.
Read the Product documentation to learn more about the product and see How-to Guides.
Note
Because this client uses grpc
library, it is safe to
share instances across threads. In multiprocessing scenarios, the best
practice is to create client instances after the invocation of
os.fork()
by multiprocessing.pool.Pool
or
multiprocessing.Process
.
Api Reference¶
Migration Guide¶
See the guide below for instructions on migrating to the 2.x release of this library.