NCache for Data Caching in Python

NCache provides a sample application for Python on GitHub. This section will guide you through setting up and using this sample application.

Important

Before getting started with NCache in Python, take the following prerequisites under consideration:

  • Python version 3.5 or above is installed.
  • JDK 11 is installed.
  • Microsoft visual c++ redistributed package 2015 is installed.
  • The Environment Variable for JAVA_HOME is set.

NCache Demonstration using Sample Application

Follow the steps mentioned here to see how NCache is used to perform various operations on your Python application's data.

Step 1: Download Sample from GitHub

Go to the NCache repository on GitHub and download the entire repository or the sample you are interested in.

Step 2: Launch the Project

Launch your Python sample application in a Python IDE of your choice. For example, PyCharm 2019 or above.

Step 3: Configure Settings

After launching the project, locate and open the app-config.json file where you have to change the cacheName to the cache you created before.

Step 4: Build the Project and Use Sample

After configuring the cache settings, build the sample application for further use.

See Also

Create Distributed Cache
Simulate Cache Usage
Monitor Distributed Cache